Jim Caviezel
E407860
Jim Caviezel is an American actor best known for his intense, stoic performances in films like "The Passion of the Christ" and in television dramas such as "Person of Interest."
All labels observed (3)
| Label | Occurrences |
|---|---|
| Jim Caviezel canonical | 8 |
| Caviezel | 1 |
| James Patrick Caviezel | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4035696 — 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.
Target entity: Jim Caviezel Context triple: [John Reese, portrayedBy, Jim Caviezel]
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A.
James Broderick
James Broderick was an American actor known for his work in film, television, and theater, including notable roles in productions such as the crime drama "Dog Day Afternoon."
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B.
George Norton
George Norton was a British colonial-era lawyer and educator best known for establishing Presidency College in Madras, one of India’s earliest and most prestigious institutions of higher learning.
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C.
Robert Urich
Robert Urich was an American actor best known for his roles in television series such as "Vega$," "Spenser: For Hire," and "Lonesome Dove."
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D.
Michael York
Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
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E.
Jeremy Northam
Jeremy Northam is an English actor known for his versatile film and television roles, including period dramas and character-driven ensemble pieces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Jim Caviezel Target entity description: Jim Caviezel is an American actor best known for his intense, stoic performances in films like "The Passion of the Christ" and in television dramas such as "Person of Interest."
-
A.
James Broderick
James Broderick was an American actor known for his work in film, television, and theater, including notable roles in productions such as the crime drama "Dog Day Afternoon."
-
B.
George Norton
George Norton was a British colonial-era lawyer and educator best known for establishing Presidency College in Madras, one of India’s earliest and most prestigious institutions of higher learning.
-
C.
Robert Urich
Robert Urich was an American actor best known for his roles in television series such as "Vega$," "Spenser: For Hire," and "Lonesome Dove."
-
D.
Michael York
Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
-
E.
Jeremy Northam
Jeremy Northam is an English actor known for his versatile film and television roles, including period dramas and character-driven ensemble pieces.
- F. None of above. chosen
Statements (51)
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.
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.
Subject: Jim Caviezel Description of subject: Jim Caviezel is an American actor best known for his intense, stoic performances in films like "The Passion of the Christ" and in television dramas such as "Person of Interest."
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.