PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?school WHERE {
  fb:m.0d1b_ fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
}

Got 4 rows and 1 column:
| school                                                    |
| --------------------------------------------------------- |
| Julian Pino School (fb:m.0467r_n)                         |
| Daniel Florencio O'Leary School (fb:m.0467s09)            |
| Simón Bolívar University (fb:m.04fc47)                    |
| Bolivarian Military University of Venezuela (fb:m.08fk_z) |

Hugo Chavez attended the following schools: Julian Pino School, Daniel Florencio O'Leary School, Simón Bolívar University, and Bolivarian Military University of Venezuela.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] where did hugo chavez go to school?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what school did joan miro attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g_6k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g_6k fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Joan Mir, also known as Joan Miró i Ferrà, Joan MiroDEMO, Joan Miró, Joan Miró, Joan Miro (fb:m.0g_6k): Joan Miró i Ferrà was a Catalan, Spanish painter, sculptor, and ...favour of upsetting the visual elements of established painting., has type Visual Artist

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
where did lebron james go to highschool?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01jz6d ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01jz6d fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
LeBron James, also known as The L-Train, King James, The Chosen One, LeBron Raymone James, Lebron James '#23' (fb:m.01jz6d): LeBron Raymone James is an American professional basketball play...r years and winning back-to-back championships in 2012 and 2013., has type Basketball Player

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
where did bashar al assad study?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01_vwx ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01_vwx fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Bashar al-Assad, also known as Bashar Hafez al-Assad, Dr. Bashar al-Assad (fb:m.01_vwx): Bashar Hafez al-Assad is the President of Syria, commander-in-ch...rm of government Assad presides over is an authoritarian regime., has type Politician

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the similar examples, we see that the property fb:people.person.education links a person to their education records, and the property fb:education.education.institution links an education record to the educational institution (school).

Next, I will search for the entity "Hugo Chavez" in the knowledge graph to get his identifier. Then I will use the identified properties to find the schools he attended.

[Tool]
Top 10 entity alternatives:
1. Hugo Chávez, also known as El Commandante, Hugo Rafael Chávez Frías, Hugo Chavez, Esteban de Jesús, El Mico Mandante (fb:m.0d1b_): Hugo Rafael Chávez Frías was a Venezuelan politician and the Pre... re-elected in 2000 and again in 2006 with over 60% of the vote., has type Politician
2. Hugo Chávez (fb:m.0j9pvs_): Hugo Chávez is a retired Mexican football defender. He won two c...member of the Mexican squad at the 2001 FIFA Confederations Cup., has type Football player
3. Hugo Chavez (fb:m.02xgb87)
4. Hugo Chávez (fb:m.0cgtql2): has type Book Edition
5. Hugo Chá́vez (fb:m.0c3xtsy): has type Book
6. Hugo Rafael Chávez (fb:m.0j681q9): Hugo Rafael Chávez is the son of Hugo Chávez., has type Person
7. Comandante Hugo Chavez (fb:m.0qh58m4): has type Musical Recording
8. Hugo Chavez wave. (fb:m.0bn10tt)
9. Hugo Chávez International Airport, also known as Cap-Haitien Airport (fb:m.02vqbkl): Hugo Chávez International Airport is an airport serving Cap-Haït...ad which had previously bisected the airstrip around it instead., has type Airport
10. History of Venezuela, also known as Presidency of Hugo Chávez, Presidency of Hugo Chavez (fb:m.08fltn): Venezuela under the presidency of Hugo Chávez from 1999 to 2013 ...l South. Chávez's presidency ended when he died on 5 March 2013.

[Assistant] The entity for Hugo Chávez, the Venezuelan politician, is fb:m.0d1b_. Now I will query for the educational institutions he attended using the properties fb:people.person.education and fb:education.education.institution.

[Tool]
Got 4 rows and 1 column:
| school                                                    |
| --------------------------------------------------------- |
| Julian Pino School (fb:m.0467r_n)                         |
| Daniel Florencio O'Leary School (fb:m.0467s09)            |
| Simón Bolívar University (fb:m.04fc47)                    |
| Bolivarian Military University of Venezuela (fb:m.08fk_z) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the educational institutions attended by Hugo Chavez using the appropriate properties from the Freebase knowledge graph. The query returns the actual identifiers of the schools as required, and the answer lists all four schools found in the query result. The output is complete and accurate for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorName WHERE {
  fb:m.02f8jf fb:tv.tv_program.regular_cast ?performance .
  ?performance fb:tv.regular_tv_appearance.actor ?actor .
  OPTIONAL {
    ?actor fb:type.object.name ?actorName .
    FILTER ( LANG( ?actorName ) = "en" )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                           | actorName             |
| ------------------------------- | --------------------- |
| Damon Evans (fb:m.0279gxy)      | Damon Evans (en)      |
| Berlinda Tolbert (fb:m.0279gyz) | Berlinda Tolbert (en) |
| Sherman Hemsley (fb:m.02_yyp)   | Sherman Hemsley (en)  |
| Isabel Sanford (fb:m.02_z06)    | Isabel Sanford (en)   |
| Roxie Roker (fb:m.03h436)       | Roxie Roker (en)      |
| ...                             | ...                   |
| Marla Gibbs (fb:m.03zwg4)       | Marla Gibbs (en)      |
| Franklin Cover (fb:m.06b_nc)    | Franklin Cover (en)   |
| Paul Benedict (fb:m.0c6b4y)     | Paul Benedict (en)    |
| Mike Evans (fb:m.0clm34)        | Mike Evans (en)       |
| Jay Hammer (fb:m.0gydmc)        | Jay Hammer (en)       |

The actors who played on the TV show The Jeffersons are Damon Evans, Berlinda Tolbert, Sherman Hemsley, Isabel Sanford, Roxie Roker, Marla Gibbs, Franklin Cover, Paul Benedict, Mike Evans, and Jay Hammer.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who played on the jeffersons?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what state did thomas jefferson live in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07cbs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07cbs fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
Thomas Jefferson (fb:m.07cbs): Thomas Jefferson was an American Founding Father, the principal ...lutions, which attempted to nullify the Alien and Sedition Acts., has type US President
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 2:
Question:
who did michael jackson play in the wiz?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027fwmt ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027fwmt fb:film.film.starring ?y .
  ?y fb:film.performance.character ?x .
  ?y fb:film.performance.actor fb:m.09889g .
}

Using entities:
The Wiz (fb:m.027fwmt): The Wiz is a 1978 American musical adventure film produced in co...aptation of Charlie Smalls and Luther Vandross's songs for film., has type Award-Winning Work
Michael Jackson, also known as Mike, Applehead, MJ, Smelly, Space Michael (fb:m.09889g): Michael Joseph Jackson (August 29, 1958 – June 25, 2009) was an ...l Francis Admire Michael Jackson As His Best. Videos such as ..., Michael Joseph Jackson was an American singer, songwriter, recor...1990s, as well as forging a reputation as a touring solo artist., has type Celebrity

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 3:
Question:
who did michael jackson play in the wiz?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09889g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09889g fb:film.actor.film ?y .
  ?y fb:film.performance.character ?x .
  ?y fb:film.performance.film fb:m.027fwmt .
}

Using entities:
The Wiz (fb:m.027fwmt): The Wiz is a 1978 American musical adventure film produced in co...aptation of Charlie Smalls and Luther Vandross's songs for film., has type Award-Winning Work
Michael Jackson, also known as Mike, Applehead, MJ, Smelly, Space Michael (fb:m.09889g): Michael Joseph Jackson (August 29, 1958 – June 25, 2009) was an ...l Francis Admire Michael Jackson As His Best. Videos such as ..., Michael Joseph Jackson was an American singer, songwriter, recor...1990s, as well as forging a reputation as a touring solo artist., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Character (fb:film.performance.character): part of Film performance schema, links to type Film character
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, it seems that for a TV show or film, the property fb:film.film.starring or fb:film.actor.film can be used to find the actors who played in it.

Next, I will search for the entity "The Jeffersons" in the freebase knowledge graph to find its identifier.

[Tool]
Top 10 entity alternatives:
1. The Jeffersons (fb:m.02f8jf): The Jeffersons is an American sitcom that was broadcast on CBS f..." were used occasionally, especially during the earlier seasons., has type TV Program
2. The Jeffersons (fb:m.09rp21): All the children of South Park are attracted to Mr. Jefferson, h...esent him for being black and wealthy and decide bring him down., "The Jeffersons" is episode 117 of the Comedy Central animated series South Park. It was originally broadcast on April 21, 2004., has type TV Episode
3. The Jeffersons, also known as The Jeffersons (Movin’ on Up), The Jeffersons (Movin' On Up) (feat. Ja'net DuBois) (fb:m.0zytgm): has type Musical Recording
4. The Jeffersons (fb:m.05dgnpc): Thurgood runs for a local political after finding out he might be related to Thomas Jefferson., has type TV Episode
5. The Jeffersons Theme (fb:m.0dq0j4x): has type Musical Recording
6. The Jeffersons (fb:m.080rdnc): has type Book Edition
7. The Jeffersons (fb:m.06tlgms): has type Book
8. The Jeffersons (fb:m.0x1rjc1): has type Musical Recording
9. The Jeffersons (fb:m.0ghmnrv): has type TV Episode
10. The Jeffersons (fb:m.07kwc6h): has type TV Episode

[Assistant] The entity "The Jeffersons" as an American sitcom is identified as fb:m.02f8jf in Freebase. Now, I will search for the properties related to this entity to find the property that links to the actors who played on the show.

[Tool]
Top 10 property alternatives:
1. Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Currently in production (fb:tv.tv_program.currently_in_production): part of TV Program schema, links to type Boolean
4. Genre (fb:tv.tv_program.genre): part of TV Program schema, links to type TV Genre
5. Awards Won (fb:award.award_winning_work.awards_won): part of Award-Winning Work schema, links to type Award Honor
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Original network (fb:tv.tv_program.original_network): links to type TV Program Duration At Network, part of TV Program schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. TV Producer (fb:tv.tv_program.tv_producer): links to type TV Producer term, part of TV Program schema
10. Filming locations (fb:tv.tv_program.filming_locations): links to type TV Location, part of TV Program schema

No other items found

[Assistant] The property fb:tv.tv_program.regular_cast seems to be the one that links to the regular acting performances (cast) of the TV program. I will now write a SPARQL query to get the actors who played on "The Jeffersons" using this property.

[Tool] Got no rows and 2 columns

[Assistant] The property fb:tv.tv_program.regular_cast did not return any results. I will try another property related to starring or cast for the TV program "The Jeffersons." I will search for properties related to "cast" or "starring" for this entity.

[Tool]
Top 10 property alternatives:
1. Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Article (fb:common.topic.article): links to type Document, part of Topic schema
5. Genre (fb:tv.tv_program.genre): part of TV Program schema, links to type TV Genre
6. Currently in production (fb:tv.tv_program.currently_in_production): part of TV Program schema, links to type Boolean
7. Country of origin (fb:tv.tv_program.country_of_origin): part of TV Program schema, links to type Country
8. Description (fb:common.topic.description): part of Topic schema, links to type Text
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Languages (fb:tv.tv_program.languages): links to type Human Language, part of TV Program schema

No other items found

[Assistant] The search for "cast" again only returned fb:tv.tv_program.regular_cast as a relevant property, which did not yield results before. I will now try to search for properties related to "starring" for the entity "The Jeffersons."

[Tool]
Top 10 property alternatives:
1. Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
2. Currently in production (fb:tv.tv_program.currently_in_production): part of TV Program schema, links to type Boolean
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
5. Genre (fb:tv.tv_program.genre): part of TV Program schema, links to type TV Genre
6. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
7. Award Nominations (fb:award.award_nominated_work.award_nominations): part of Award-Nominated Work schema, links to type Award Nomination
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Awards Won (fb:award.award_winning_work.awards_won): part of Award-Winning Work schema, links to type Award Honor
10. Filming locations (fb:tv.tv_program.filming_locations): links to type TV Location, part of TV Program schema

No other items found

[Assistant] The property fb:tv.tv_program.regular_cast is the only relevant property related to cast or starring for the TV program "The Jeffersons," but it did not return results earlier. I will now try to explore the structure of this property by listing some triples with this property to see what kind of objects it links to. This might help in understanding how to get the actors.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                    | object       |
| ---------------------------- | ----------------------------------------------------------- | ------------ |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.03lkkdh |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.03lkkdn |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.03lkkdt |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.03lkkf3 |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.03lkkf8 |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.03lkkff |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0l5j2hf |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0l5j2hn |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0l5j2hv |
| The Jeffersons (fb:m.02f8jf) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0l5j2j1 |
| ...                          | ...                                                         | ...          |

[Assistant] The property fb:tv.tv_program.regular_cast links to several entities that seem to represent regular acting performances. I will now explore one of these entities to see if it links to the actor. I will look at the properties of one of these entities, for example, fb:m.03lkkdh.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                    | object                                               |
| ------------ | ------------------------------------------- | ---------------------------------------------------- |
| fb:m.03lkkdh | Type (fb:type.object.type)                  | TV Regular Performance (fb:tv.regular_tv_appearance) |
| fb:m.03lkkdh | Actor (fb:tv.regular_tv_appearance.actor)   | Marla Gibbs (fb:m.03zwg4)                            |
| fb:m.03lkkdh | Series (fb:tv.regular_tv_appearance.series) | The Jeffersons (fb:m.02f8jf)                         |
| fb:m.03lkkdh | rdf:type                                    | TV Regular Performance (fb:tv.regular_tv_appearance) |

[Assistant]
The entity fb:m.03lkkdh is a TV Regular Performance and it has the property fb:tv.regular_tv_appearance.actor which links to the actor Marla Gibbs (fb:m.03zwg4). This confirms that the actors can be retrieved through the chain: The Jeffersons -> fb:tv.tv_program.regular_cast -> TV Regular Performance -> fb:tv.regular_tv_appearance.actor.

I will now write a SPARQL query to get the actors who played on "The Jeffersons" using this chain of properties. I will also include their names.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                           | actorName             |
| ------------------------------- | --------------------- |
| Damon Evans (fb:m.0279gxy)      | Damon Evans (en)      |
| Berlinda Tolbert (fb:m.0279gyz) | Berlinda Tolbert (en) |
| Sherman Hemsley (fb:m.02_yyp)   | Sherman Hemsley (en)  |
| Isabel Sanford (fb:m.02_z06)    | Isabel Sanford (en)   |
| Roxie Roker (fb:m.03h436)       | Roxie Roker (en)      |
| ...                             | ...                   |
| Marla Gibbs (fb:m.03zwg4)       | Marla Gibbs (en)      |
| Franklin Cover (fb:m.06b_nc)    | Franklin Cover (en)   |
| Paul Benedict (fb:m.0c6b4y)     | Paul Benedict (en)    |
| Mike Evans (fb:m.0clm34)        | Mike Evans (en)       |
| Jay Hammer (fb:m.0gydmc)        | Jay Hammer (en)       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the actors who played on the TV show The Jeffersons by using the regular cast property and linking to the actors. It also optionally retrieves the English names of the actors, which is helpful for readability. The execution result shows a reasonable list of actors consistent with the known cast of the show. The answer provided matches the query results and is complete and accurate. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?cancer ?cancerLabel WHERE {
  fb:m.02h3tp fb:people.deceased_person.cause_of_death ?causeOfDeath .
  ?causeOfDeath fb:people.cause_of_death.parent_cause_of_death fb:m.0qcr0 .
  OPTIONAL {
    ?causeOfDeath rdfs:label ?cancerLabel .
    FILTER ( lang( ?cancerLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| cancer | cancerLabel            |
| ------ | ---------------------- |
|        | Pancreatic cancer (en) |

Patrick Swayze had pancreatic cancer.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what cancer did patrick swayze?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what type of cancer did patrick swayze die from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02h3tp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02h3tp fb:people.deceased_person.cause_of_death ?x .
  ?x fb:people.cause_of_death.parent_cause_of_death fb:m.0qcr0 .
}

Using entities:
Patrick Swayze, also known as Buddy, Patrick Wayne Swayze (fb:m.02h3tp): Patrick Wayne Swayze was an American actor, dancer, and singer-s...was named by People magazine as its "Sexiest Man Alive" in 1991., has type Film actor
Cancer, also known as Malignant neoplasm (fb:m.0qcr0): Cancer /ˈkænsər/, also known as a malignant tumor or malignant n...y many such genetic changes are required before cancer develops., Malignant Neoplasm is a tumor composed of atypical neoplastic, o...n and non-Hodgkin lymphomas, leukemias, melanomas, and sarcomas., has type Disease or medical condition

Using properties:
Parent cause of death (fb:people.cause_of_death.parent_cause_of_death): part of Cause Of Death schema, links to type Cause Of Death
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 2:
Question:
what films did patrick swayze star in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02h3tp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02h3tp fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Patrick Swayze, also known as Buddy, Patrick Wayne Swayze (fb:m.02h3tp): Patrick Wayne Swayze was an American actor, dancer, and singer-s...was named by People magazine as its "Sexiest Man Alive" in 1991., has type Film actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
what did patrick swayze sing?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02h3tp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02h3tp fb:music.artist.track ?x .
}

Using entities:
Patrick Swayze, also known as Buddy, Patrick Wayne Swayze (fb:m.02h3tp): Patrick Wayne Swayze was an American actor, dancer, and singer-s...was named by People magazine as its "Sexiest Man Alive" in 1991., has type Film actor

Using properties:
Recordings (fb:music.artist.track): links to type Musical Recording, part of Musical Artist schema

[Assistant]
From the similar examples, we see that Patrick Swayze is identified as fb:m.02h3tp in Freebase. The property related to cause of death is fb:people.deceased_person.cause_of_death, and cancer is represented by fb:m.0qcr0 (Malignant neoplasm).

The example query for "what type of cancer did patrick swayze die from?" is:

SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02h3tp )
  FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) )
  fb:m.02h3tp fb:people.deceased_person.cause_of_death ?x .
  ?x fb:people.cause_of_death.parent_cause_of_death fb:m.0qcr0 .
}

I will execute this query to get the specific cancer Patrick Swayze had.

[Tool]
Got 1 row and 2 columns:
| cancer | cancerLabel            |
| ------ | ---------------------- |
|        | Pancreatic cancer (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the cause of death of Patrick Swayze as pancreatic cancer. It uses the appropriate properties and entities to find the parent cause of death related to cancer and retrieves the English label for the cancer type. The answer 'Patrick Swayze had pancreatic cancer' is accurate and complete based on the query results. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?work ?workName ?dateOfFirstPublication WHERE {
  fb:m.01v9724 fb:book.author.works_written ?work .
  OPTIONAL {
    ?work fb:type.object.name ?workName .
    FILTER ( LANG( ?workName ) = "en" )
  }
  ?work fb:book.written_work.date_of_first_publication ?dateOfFirstPublication
}
ORDER BY ?dateOfFirstPublication
LIMIT 1

The first book Charles Dickens wrote according to the Freebase knowledge graph is "Sketches by Boz," which was first published in 1836.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what was the first book charles dickens wrote?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what did charles dickens writer?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01v9724 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01v9724 fb:book.author.works_written ?x .
}

Using entities:
Charles Dickens, also known as Dickens Charles, C. Dickens, Dickens, Charles John Huffham Dickens, Charles John Huffam Dickens (fb:m.01v9724): Charles John Huffam Dickens was an English writer and social cri...s humour, satire, and keen observation of character and society., has type Author

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema

Example 2:
Question:
what did charles dickens writer?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01v9724 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01v9724 fb:book.author.book_editions_published ?x .
}

Using entities:
Charles Dickens, also known as Dickens Charles, C. Dickens, Dickens, Charles John Huffham Dickens, Charles John Huffam Dickens (fb:m.01v9724): Charles John Huffam Dickens was an English writer and social cri...s humour, satire, and keen observation of character and society., has type Author

Using properties:
Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema

Example 3:
Question:
what writers influenced charles dickens?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01v9724 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01v9724 fb:influence.influence_node.influenced_by ?x .
}

Using entities:
Charles Dickens, also known as Dickens Charles, C. Dickens, Dickens, Charles John Huffham Dickens, Charles John Huffam Dickens (fb:m.01v9724): Charles John Huffam Dickens was an English writer and social cri...s humour, satire, and keen observation of character and society., has type Author

Using properties:
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node

[Assistant]
From the examples, I see that Charles Dickens is identified as fb:m.01v9724 in Freebase. The property fb:book.author.works_written links an author to the works they have written. To find the first book Charles Dickens wrote, I will query for the works he wrote and try to order them by their publication date to get the earliest one.

I will first check if there is a property for the publication date of a book.

[Tool]
Top 10 property alternatives:
1. Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
2. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
3. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Works edited (fb:book.author.works_edited): links to type Written Work, part of Author schema
6. Is reviewed (fb:freebase.valuenotation.is_reviewed): part of Value Notation schema, links to type Property
7. Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Series Written (or Contributed To) (fb:book.author.series_written_or_contributed_to): links to type Literary Series, part of Author schema
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant] There is a property "Book editions published" (fb:book.author.book_editions_published) which links to Book Edition, and "Works written" (fb:book.author.works_written) which links to Written Work. To find the publication date, I will check the properties of a Written Work to see if there is a publication date property. I will search for properties of a Written Work related to publication date.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] There are no direct properties for publication date on the Written Work entity. I will check the properties of Book Edition to see if there is a publication date property there.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] There are no direct properties for publication date on the Book Edition entity either. Since there is no direct publication date property, I will retrieve all works written by Charles Dickens and then check if there is any date-related property or label that can help identify the first book. I will start by querying the works written by Charles Dickens.

[Tool]
Got 10 rows and 2 columns:
| work           | workName |
| -------------- | -------- |
| fb:g.11_pl4r_b |          |
| fb:g.11r_pdpb0 |          |
| fb:g.11r_pp6r4 |          |
| fb:g.11r_pr8d7 |          |
| fb:g.11vj7g90q |          |
| fb:g.11vj7j0wq |          |
| fb:g.120r4xss  |          |
| fb:g.121pkd79  |          |
| fb:g.1222clnw  |          |
| fb:g.1q5ggy5tl |          |

[Assistant] I retrieved 10 works written by Charles Dickens, but most of them do not have English names directly available. I will now try to get the names of these works by querying their names separately. I will also try to find any date-related properties for these works to identify the first book. I will start by checking the properties of one of these works to see if there is any date-related information. I will check the properties of fb:g.11_pl4r_b.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject        | property                             | object                                      |
| -------------- | ------------------------------------ | ------------------------------------------- |
| fb:g.11_pl4r_b | Type (fb:type.object.type)           | Topic (fb:common.topic)                     |
| fb:g.11_pl4r_b | Author (fb:book.written_work.author) | Charles Dickens (fb:m.01v9724)              |
| fb:g.11_pl4r_b | rdf:type                             | Topic (fb:common.topic)                     |
| fb:g.11_pl4r_b | Type (fb:type.object.type)           | Non-Agent (fb:base.type_ontology.non_agent) |
| fb:g.11_pl4r_b | Type (fb:type.object.type)           | Abstract (fb:base.type_ontology.abstract)   |
| fb:g.11_pl4r_b | Type (fb:type.object.type)           | Inanimate (fb:base.type_ontology.inanimate) |
| fb:g.11_pl4r_b | Type (fb:type.object.type)           | Written Work (fb:book.written_work)         |
| fb:g.11_pl4r_b | rdf:type                             | Non-Agent (fb:base.type_ontology.non_agent) |
| fb:g.11_pl4r_b | rdf:type                             | Abstract (fb:base.type_ontology.abstract)   |
| fb:g.11_pl4r_b | rdf:type                             | Inanimate (fb:base.type_ontology.inanimate) |
| ...            | ...                                  | ...                                         |

[Assistant] The work fb:g.11_pl4r_b is a Written Work by Charles Dickens, but there is no direct date property here. I will try to find any property related to date or first publication for this work. I will search for properties of this work with the keyword "date".

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Author (fb:book.written_work.author): part of Written Work schema, links to type Author

No other items found

[Assistant] There are no date-related properties for this specific work either. Since the knowledge graph does not seem to have direct publication dates for works, I will try another approach: I will retrieve the works written by Charles Dickens along with their names and then try to find the earliest work by checking if any of the works have a "first published" or similar property. I will first get the names of more works written by Charles Dickens.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                                           | workName                                             |
| -------------------------------------------------------------- | ---------------------------------------------------- |
| fb:g.11_pl4r_b                                                 |                                                      |
| fb:g.11r_pdpb0                                                 |                                                      |
| fb:g.11r_pp6r4                                                 |                                                      |
| fb:g.11r_pr8d7                                                 |                                                      |
| fb:g.11vj7g90q                                                 |                                                      |
| ...                                                            | ...                                                  |
| Christmas Stories (fb:m.05z09jb)                               | Christmas Stories (en)                               |
| The Memorable Trial of Bardell Against Pickwick (fb:m.066xvrn) | The Memorable Trial of Bardell Against Pickwick (en) |
| Temps Difficile (fb:m.066zpx2)                                 | Temps Difficile (en)                                 |
| Zweisprachig (fb:m.0675q44)                                    | Zweisprachig (en)                                    |
| Captain Murderer (fb:m.0676gr6)                                | Captain Murderer (en)                                |

[Assistant] I retrieved 50 works written by Charles Dickens, but most of them still do not have English names directly available. Some works have names like "Christmas Stories" and "The Memorable Trial of Bardell Against Pickwick." I will now try to find any property related to the first publication or earliest work by Charles Dickens. Since there is no direct date property, I will try to find if there is any property indicating the first work or debut work of an author. I will search for properties of Charles Dickens related to "first work" or "debut".

[Tool]
Top 10 property alternatives:
1. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
2. Works edited (fb:book.author.works_edited): links to type Written Work, part of Author schema
3. Fictional Characters Created (fb:fictional_universe.fictional_character_creator.fictional_characters_created): part of Fictional Character Creator schema, links to type Fictional Character
4. Lyrics Written (fb:music.lyricist.lyrics_written): links to type Composition, part of Lyricist schema
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Is reviewed (fb:freebase.valuenotation.is_reviewed): part of Value Notation schema, links to type Property
9. Series Written (or Contributed To) (fb:book.author.series_written_or_contributed_to): links to type Literary Series, part of Author schema
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Assistant] There is no specific property for "first work" or "debut work" for Charles Dickens. Given the limitations, I will retrieve all works written by Charles Dickens along with their names and try to order them by their Freebase identifier as a proxy for chronology (assuming lower IDs might correspond to earlier works). I will then return the work with the lowest ID as the first book he wrote. I will construct a query to get the works and order them by their identifier.

[Tool]
Got 1 row and 2 columns:
| work           | workName |
| -------------- | -------- |
| fb:g.11_pl4r_b |          |

[Assistant] The query returned the work with the lowest identifier fb:g.11_pl4r_b, but it does not have an English name directly available. I will try to get the English name of this work separately.

[Tool] Got no rows and 1 columns

[Assistant] The work with the lowest identifier fb:g.11_pl4r_b does not have an English name available in the knowledge graph. Given the limitations of the data, I will provide the identifier of the first work by Charles Dickens according to the knowledge graph.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves one work written by Charles Dickens but does not guarantee that it is the first book he wrote. The query orders by the work identifier, which does not necessarily correspond to the chronological order of publication. To improve, the query should include a property related to the publication date or first publication year of the work and order by that date ascending to ensure the earliest book is selected. Additionally, the result lacks an English name for the book, so it would be good to verify if the knowledge graph has any alternative labels or to confirm the absence of a name. Refining the query to ensure the first book by publication date is returned will provide a more accurate answer.

[Assistant] Thank you for the feedback. I will refine the approach to find the first book Charles Dickens wrote by focusing on the publication date or first publication year of the works. Since I previously could not find a direct publication date property for the works, I will now try to find any property related to "first published" or "publication year" for the works written by Charles Dickens. If such a property exists, I will order the works by that property ascending to get the earliest one. I will start by searching for properties related to "first published" or "publication year" for works written by Charles Dickens.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Instance (fb:type.type.instance): links to type Object, part of Type schema

No other items found

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Instance (fb:type.type.instance): links to type Object, part of Type schema

No other items found

[Assistant] There are no direct properties for "first published" or "publication year" on the Written Work entity. I will now try to find any date-related properties for the works written by Charles Dickens by querying the works and checking if any of them have a date-related property or literal. I will query the works with any date-related properties or literals.

[Tool]
SPARQL execution failed:
Operation timed out. Last operation: Filter ( datatype ( ?date ) = xsd:date || datatype ( ?date ) = xsd:gYear || regex ( str ( ?p ) , "date" , "i" ) || regex ( str ( ?p ) , "year" , "i" ) )

[Assistant] The query to find date-related properties or literals for works written by Charles Dickens timed out, likely due to the broad filter. I will narrow down the search by only looking for properties containing "date" in their name for the works written by Charles Dickens. I will try a simpler query to find any date-related properties for the works.

[Tool]
Got 3 rows and 1 column:
| p                                                                          |
| -------------------------------------------------------------------------- |
| Copyright date (fb:book.written_work.copyright_date)                       |
| Date of first publication (fb:book.written_work.date_of_first_publication) |
| Date written (fb:book.written_work.date_written)                           |

[Assistant]
I found three date-related properties for works written by Charles Dickens:
1. Copyright date (fb:book.written_work.copyright_date)
2. Date of first publication (fb:book.written_work.date_of_first_publication)
3. Date written (fb:book.written_work.date_written)

The property "Date of first publication" seems most relevant to find the first book he wrote. I will now query the works written by Charles Dickens along with their names and their date of first publication, and order the results by the date of first publication ascending to get the earliest book.

[Tool]
Got 1 row and 3 columns:
| work                                  | workName                    | dateOfFirstPublication |
| ------------------------------------- | --------------------------- | ---------------------- |
| Inspector Bucket's Job (fb:m.06t05y4) | Inspector Bucket's Job (en) |                        |

[Assistant] The query returned the work "Inspector Bucket's Job" as the earliest book by Charles Dickens based on the date of first publication property. However, the date of first publication is not available in the knowledge graph for this work. I will check if there is any other work with a date of first publication available by increasing the limit and filtering for non-empty dates.

[Tool]
Got 5 rows and 3 columns:
| work                                      | workName                        | dateOfFirstPublication   |
| ----------------------------------------- | ------------------------------- | ------------------------ |
| Sketches by Boz (fb:m.01_wr2)             | Sketches by Boz (en)            | 1836 (xsd:gYear)         |
| The Pickwick Papers (fb:m.026v43)         | The Pickwick Papers (en)        | 1836-03 (xsd:gYearMonth) |
| The Mudfog Papers (fb:m.04zz8db)          | The Mudfog Papers (en)          | 1837 (xsd:gYear)         |
| Memoirs of Joseph Grimaldi (fb:m.05h4f45) | Memoirs of Joseph Grimaldi (en) | 1838 (xsd:gYear)         |
| Oliver Twist (fb:m.015cf8)                | Oliver Twist (en)               | 1838 (xsd:gYear)         |

[Assistant] I found several works by Charles Dickens with their date of first publication available. The earliest one is "Sketches by Boz" published in 1836, followed by "The Pickwick Papers" also published in 1836 but with a more specific month (March). Based on this, the first book Charles Dickens wrote is "Sketches by Boz." I will now provide the final answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the first book Charles Dickens wrote by ordering his works by their date of first publication and limiting the result to one. The query returns the work's identifier, its English name, and the date of first publication, which matches the user's question. The answer 'Sketches by Boz' published in 1836 is accurate according to the Freebase knowledge graph. The query follows best practices by including optional labels and filtering for English names. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.01mjq fb:location.country.official_language ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( lang( ?languageLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| language                    | languageLabel       |
| --------------------------- | ------------------- |
| Czech Language (fb:m.01wgr) | Czech Language (en) |

The official language spoken in the Czech Republic is Czech Language.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is spoken in czech republic?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what do people in the czech republic speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01mjq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01mjq fb:location.country.official_language ?x .
}

Using entities:
Czech Republic, also known as Bohemia (fb:m.01mjq): The Czech Republic, is a landlocked country in Central Europe bo...ized mainly by the emperor and princes of the Holy Roman Empire., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

Example 2:
Question:
what do people in the czech republic speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01mjq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01mjq fb:location.country.languages_spoken ?x .
}

Using entities:
Czech Republic, also known as Bohemia (fb:m.01mjq): The Czech Republic, is a landlocked country in Central Europe bo...ized mainly by the emperor and princes of the Holy Roman Empire., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
what language do people in czech republic speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01mjq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01mjq fb:location.country.official_language ?x .
}

Using entities:
Czech Republic, also known as Bohemia (fb:m.01mjq): The Czech Republic, is a landlocked country in Central Europe bo...ized mainly by the emperor and princes of the Holy Roman Empire., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant] From the similar examples, it appears that the entity for Czech Republic is fb:m.01mjq and the properties related to languages spoken are fb:location.country.official_language and fb:location.country.languages_spoken. I will now write a SPARQL query to get the languages spoken in the Czech Republic using these properties.

[Tool]
Got 1 row and 2 columns:
| language                    | languageLabel       |
| --------------------------- | ------------------- |
| Czech Language (fb:m.01wgr) | Czech Language (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language spoken in the Czech Republic using the property for official language. The query returns the identifier and the English label for the language, which is Czech Language. The answer is accurate and complete for the user's question. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeOfBirth ?placeOfBirthLabel ?country ?countryLabel WHERE {
  fb:m.04s9n fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth fb:location.location.containedby ?country .
  }
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 2 rows and 4 columns:
| placeOfBirth       | placeOfBirthLabel | country                           | countryLabel            |
| ------------------ | ----------------- | --------------------------------- | ----------------------- |
| Mecca (fb:m.058wp) | Mecca (en)        | Saudi Arabia (fb:m.01z215)        | Saudi Arabia (en)       |
| Mecca (fb:m.058wp) | Mecca (en)        | Sharifate of Mecca (fb:m.0h6825p) | Sharifate of Mecca (en) |

The prophet Mohammed was from Mecca, which is in present-day Saudi Arabia.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] where was the prophet mohammed from?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what country was jesus born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.045m1_ fb:people.person.place_of_birth ?y .
  ?y fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
}

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Jesus Christ, also known as Yeshua, Jesus, son of Mary, Jesus of Nazareth, Jesus Christ, Son of God, Son of Mary, Jesus (fb:m.045m1_): Jesus, also referred to as Jesus of Nazareth, is the central fig...ted as "AD" or sometimes as "CE" is based on the birth of Jesus., has type Deity

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 2:
Question:
what country was bin laden from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05mg9 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05mg9 fb:people.person.nationality ?x .
}

Using entities:
Osama bin Laden, also known as Sheik al-Mujahid, The Director, The Emir, The Jihadist Sheik, The Prince (fb:m.05mg9): Osama bin Mohammed bin Awad bin Laden was the founder of al-Qaed...ted States, initiating a series of bombings and related attacks., has type Organization leader

Using properties:
Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

Example 3:
Question:
who was the first wife of prophet muhammad?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04s9n ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04s9n fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
  ?y fb:people.marriage.from ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
Muhammad in Islam, also known as Mohammed, Mahomet, Muhammad, Muhammad, Muḥammad, Muḥammad ibn `Abd Allāh, Muhammad in Islam (fb:m.04s9n): Muḥammad ibn ʿAbd Allāh ibn ʿAbd al-Muṭṭalib ibn Hāshim, in shor...ed a model of the life-style that Muslims are obliged to follow., Muhammad, full name Abū al-Qāsim Muḥammad ibn ʿAbd Allāh ibn ʿAb...s visited by Gabriel and received his first revelation from God., has type Military Commander
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice

Using properties:
From (fb:people.marriage.from): links to type Date/Time, part of Marriage schema
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

[Assistant] From the examples, it seems that the entity for the prophet Mohammed in Freebase is fb:m.04s9n. To find where he was from, we can look for properties related to place of birth or nationality. The example for Jesus used the property fb:people.person.place_of_birth to find the country he was born in. I will first check the place of birth property for the prophet Mohammed (fb:m.04s9n).

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                         | object             |
| ------------------------------ | ------------------------------------------------ | ------------------ |
| Muhammad in Islam (fb:m.04s9n) | Place of birth (fb:people.person.place_of_birth) | Mecca (fb:m.058wp) |

[Assistant] The prophet Mohammed (fb:m.04s9n) has the place of birth property with the value Mecca (fb:m.058wp). Now I will check if Mecca is linked to a country or location to provide a more general answer about where he was from. I will look for the property "contained by" or similar for Mecca.

[Tool]
Got 2 rows and 3 columns:
| subject            | property                                        | object                            |
| ------------------ | ----------------------------------------------- | --------------------------------- |
| Mecca (fb:m.058wp) | Contained by (fb:location.location.containedby) | Saudi Arabia (fb:m.01z215)        |
| Mecca (fb:m.058wp) | Contained by (fb:location.location.containedby) | Sharifate of Mecca (fb:m.0h6825p) |

[Assistant] Mecca (fb:m.058wp) is contained by Saudi Arabia (fb:m.01z215) and also by Sharifate of Mecca (fb:m.0h6825p). The more general and current country is Saudi Arabia. I will now formulate the final query to return the place of birth and the country for the prophet Mohammed.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth of the prophet Mohammed along with the country containing that place. The answer 'The prophet Mohammed was from Mecca, which is in present-day Saudi Arabia.' is accurate and supported by the query results. The query also includes optional labels for readability and handles multiple possible country entities. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?parent ?parentLabel WHERE {
  fb:m.02vntj fb:people.person.parents ?parent .
  OPTIONAL {
    ?parent rdfs:label ?parentLabel .
    FILTER ( lang( ?parentLabel ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| parent                                | parentLabel                 |
| ------------------------------------- | --------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (en)        |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (en) |

Anne Hathaway's parents are Gerald Hathaway and Kate McCauley Hathaway.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who is anne hathaway parents?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where was anne hathaway born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02vntj ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02vntj fb:people.person.place_of_birth ?x .
}

Using entities:
Anne Hathaway, also known as Anne Jacqueline Hathaway, Enn Kheteuey, Annie, Ann Hathaway, Anne Whitney Hathaway (fb:m.02vntj): Anne Jacqueline Hathaway is an American actress, singer, and pro...he Dark Knight Rises and Fantine in Tom Hooper's Les Misérables., has type Celebrity

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 2:
Question:
who is john cabot's parents?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.040t9 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.040t9 fb:people.person.parents ?x .
}

Using entities:
John Cabot (fb:m.040t9): John Cabot was an Italian navigator and explorer whose 1497 disc...conclusion that the landing was at Cape Bonavista, Newfoundland., has type Deceased Person

Using properties:
Parents (fb:people.person.parents): part of Person schema, links to type Person

Example 3:
Question:
who is kristen stewart parents?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07swvb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07swvb fb:people.person.parents ?x .
}

Using entities:
Kristen Stewart, also known as Stew, KStew, Kristen Jaymes Stewart, Kris, Ki Ki (fb:m.07swvb): Kristen Jaymes Stewart (born April 9, 1990) is an American actre... 9
 RFID Accessory
 http://www.jinmuyu.com.cn/english/index.html, Kristen Jaymes Stewart is an American actress, known for playing... for her role opposite Juliette Binoche in Clouds of Sils Maria., has type Celebrity

Using properties:
Parents (fb:people.person.parents): part of Person schema, links to type Person

[Assistant] From the similar examples, I see that the entity for Anne Hathaway is fb:m.02vntj and the property for parents is fb:people.person.parents. I will now write a SPARQL query to get the parents of Anne Hathaway using these.

[Tool]
Got 2 rows and 2 columns:
| parent                                | parentLabel                 |
| ------------------------------------- | --------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (en)        |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the parents of Anne Hathaway using the property fb:people.person.parents. It returns both the identifiers and English labels of the parents, which are Gerald Hathaway and Kate McCauley Hathaway. The answer is accurate and complete based on the knowledge graph data. No further refinement is necessary.