Sean Callery
E272604
Sean Callery is an Emmy-winning television and film composer best known for his suspenseful, atmospheric scores for series such as 24, Homeland, and Jessica Jones.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sean Callery canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T2458821 — 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: Sean Callery Context triple: [Homeland, composer, Sean Callery]
-
A.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
B.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
C.
Steve Callaghan
Steve Callaghan is an American television writer and producer best known for his long-running work on the animated series Family Guy.
-
D.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
E.
Cory Hardrict
Cory Hardrict is an American actor known for his work in film and television, including roles in projects like "American Sniper," "Brotherly Love," and various TV dramas.
- 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: Sean Callery Target entity description: Sean Callery is an Emmy-winning television and film composer best known for his suspenseful, atmospheric scores for series such as 24, Homeland, and Jessica Jones.
-
A.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
B.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
C.
Steve Callaghan
Steve Callaghan is an American television writer and producer best known for his long-running work on the animated series Family Guy.
-
D.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
E.
Cory Hardrict
Cory Hardrict is an American actor known for his work in film and television, including roles in projects like "American Sniper," "Brotherly Love," and various TV dramas.
- F. None of above. chosen
Statements (44)
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: Sean Callery Description of subject: Sean Callery is an Emmy-winning television and film composer best known for his suspenseful, atmospheric scores for series such as 24, Homeland, and Jessica Jones.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.