John O'Neil
E614437
John O'Neil is best known as the former husband of American actress Teri Garr.
All labels observed (1)
| Label | Occurrences |
|---|---|
| John O'Neil canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6702713 — 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: John O'Neil Context triple: [Teri Garr, spouse, John O'Neil]
-
A.
John O’Neill
John O’Neill was a real-life FBI counterterrorism expert known for his early warnings about al-Qaeda and is prominently portrayed as a central figure in the book and TV adaptation "The Looming Tower."
-
B.
John Garrison
John Garrison is a British singer-songwriter and musician known for his solo work and for contributing bass and backing vocals to James Blunt’s music.
-
C.
James Dillon
James Dillon was an Irish politician who led the Fine Gael party and served as a prominent member of Dáil Éireann in the mid-20th century.
-
D.
Carl Benton Reid
Carl Benton Reid was an American character actor known for his work in mid-20th-century film, television, and theater.
-
E.
John O'Brien
John O'Brien is an American screenwriter best known for co-writing the 2004 film adaptation of the classic television series "Starsky & Hutch."
- 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: John O'Neil Target entity description: John O'Neil is best known as the former husband of American actress Teri Garr.
-
A.
John O’Neill
John O’Neill was a real-life FBI counterterrorism expert known for his early warnings about al-Qaeda and is prominently portrayed as a central figure in the book and TV adaptation "The Looming Tower."
-
B.
John Garrison
John Garrison is a British singer-songwriter and musician known for his solo work and for contributing bass and backing vocals to James Blunt’s music.
-
C.
James Dillon
James Dillon was an Irish politician who led the Fine Gael party and served as a prominent member of Dáil Éireann in the mid-20th century.
-
D.
Carl Benton Reid
Carl Benton Reid was an American character actor known for his work in mid-20th-century film, television, and theater.
-
E.
John O'Brien
John O'Brien is an American screenwriter best known for co-writing the 2004 film adaptation of the classic television series "Starsky & Hutch."
- F. None of above. chosen
Statements (6)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| maritalStatus | divorced ⓘ |
| notableFor | being the former husband of American actress Teri Garr ⓘ |
| spouse |
John O'Neil
NERFINISHED
ⓘ
Teri Garr NERFINISHED ⓘ |
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: John O'Neil Description of subject: John O'Neil is best known as the former husband of American actress Teri Garr.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.