Frank Farmer
E55812
Frank Farmer is the stoic former Secret Service agent turned professional bodyguard who is hired to protect a famous singer in the film "The Bodyguard."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Frank Farmer canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T155706 — 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: Frank Farmer Context triple: [The Bodyguard, mainCharacter, Frank Farmer]
-
A.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
B.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
-
C.
Charles Begole
Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
-
D.
Eric Eldred
Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
-
E.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
- 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: Frank Farmer Target entity description: Frank Farmer is the stoic former Secret Service agent turned professional bodyguard who is hired to protect a famous singer in the film "The Bodyguard."
-
A.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
B.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
-
C.
Charles Begole
Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
-
D.
Eric Eldred
Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
-
E.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ |
| appearsIn | The Bodyguard ⓘ |
| characterTrait |
professional
ⓘ
reserved ⓘ stoic ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| createdBy | Lawrence Kasdan ⓘ |
| employedBy | Rachel Marron ⓘ |
| filmGenreContext |
drama
ⓘ
romance ⓘ thriller ⓘ |
| firstAppearance |
The Bodyguard
ⓘ
surface form:
The Bodyguard (1992 film)
|
| formerEmployer | United States Secret Service ⓘ |
| genreOfWork | romantic thriller film ⓘ |
| hasRomanticRelationshipWith | Rachel Marron ⓘ |
| hasSkill |
close protection operations
ⓘ
firearms proficiency ⓘ protective security ⓘ threat assessment ⓘ |
| knownFor |
refusing to compromise on safety
ⓘ
strict security rules ⓘ |
| languageOfWork | English ⓘ |
| notableFor | protecting a famous singer from a stalker ⓘ |
| notableScene |
carries Rachel Marron on stage during a crowd surge
ⓘ
catches a bullet meant for Rachel Marron ⓘ |
| occupation |
bodyguard
ⓘ
former Secret Service agent ⓘ |
| portrayedBy | Kevin Costner ⓘ |
| protects | Rachel Marron ⓘ |
| usesObject |
handgun
ⓘ
sunglasses ⓘ |
| workLocation | Los Angeles ⓘ |
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: Frank Farmer Description of subject: Frank Farmer is the stoic former Secret Service agent turned professional bodyguard who is hired to protect a famous singer in the film "The Bodyguard."
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.