Javier Cámara
E549121
Javier Cámara is a Spanish actor known for his acclaimed performances in both film and television, including prominent roles in Pedro Almodóvar’s movies.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Javier Cámara canonical | 11 |
How this entity was disambiguated
This entity first appeared as the object of triple T5633661 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Javier Cámara Context triple: [Talk to Her, starring, Javier Cámara]
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A.
Miguel Ángel Ramírez
Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
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B.
Greg Garcia
Greg Garcia is an American television writer and producer best known for creating the sitcom "My Name Is Earl."
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C.
Carlos PenaVega
Carlos PenaVega is an American actor and singer best known as a member of the pop group Big Time Rush and for his role on the Nickelodeon series of the same name.
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D.
Nestor Carbonell
Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
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E.
Eugenio Derbez
Eugenio Derbez is a Mexican actor, comedian, and filmmaker known for his work in both Spanish- and English-language film and television, including prominent roles in international hits.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Javier Cámara Target entity description: Javier Cámara is a Spanish actor known for his acclaimed performances in both film and television, including prominent roles in Pedro Almodóvar’s movies.
-
A.
Miguel Ángel Ramírez
Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
-
B.
Greg Garcia
Greg Garcia is an American television writer and producer best known for creating the sitcom "My Name Is Earl."
-
C.
Carlos PenaVega
Carlos PenaVega is an American actor and singer best known as a member of the pop group Big Time Rush and for his role on the Nickelodeon series of the same name.
-
D.
Nestor Carbonell
Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
-
E.
Eugenio Derbez
Eugenio Derbez is a Mexican actor, comedian, and filmmaker known for his work in both Spanish- and English-language film and television, including prominent roles in international hits.
- F. None of above. chosen
Statements (41)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Javier Cámara Description of subject: Javier Cámara is a Spanish actor known for his acclaimed performances in both film and television, including prominent roles in Pedro Almodóvar’s movies.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.