Triple
T12363529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Keith |
E294799
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Sid Worley in An Officer and a Gentleman
Sid Worley in *An Officer and a Gentleman* is the troubled yet loyal Navy aviation officer candidate whose personal struggles and tragic fate provide an emotional counterpoint to the film’s central romance and coming-of-age story.
|
E977741
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sid Worley in An Officer and a Gentleman | Statement: [David Keith, portrayedCharacter, Sid Worley in An Officer and a Gentleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sid Worley in An Officer and a Gentleman Context triple: [David Keith, portrayedCharacter, Sid Worley in An Officer and a Gentleman]
-
A.
Gunnery Sergeant Emil Foley in An Officer and a Gentleman
Gunnery Sergeant Emil Foley in *An Officer and a Gentleman* is the tough, uncompromising Marine drill instructor who rigorously trains and ultimately mentors the film’s protagonist, Zack Mayo.
-
B.
Fletcher Marron in The Bodyguard
Fletcher Marron in *The Bodyguard* is the young son of pop star Rachel Marron, whose safety becomes a key concern for the titular bodyguard in the 1992 romantic thriller film.
-
C.
Charlie Blackwood in Top Gun
Charlie Blackwood in Top Gun is the civilian astrophysicist and flight instructor who serves as Maverick’s love interest and intellectual counterpart at the elite Navy fighter weapons school.
-
D.
Michael Hunsaker in Lethal Weapon
Michael Hunsaker is a key supporting character in the action film "Lethal Weapon," serving as a troubled Vietnam War veteran and old friend of Roger Murtaugh whose personal tragedy helps drive the movie’s central investigation.
-
E.
Gordon Scott
Gordon Scott was an American actor best known for playing Tarzan in a series of popular 1950s and 1960s adventure films.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sid Worley in An Officer and a Gentleman Triple: [David Keith, portrayedCharacter, Sid Worley in An Officer and a Gentleman]
Generated description
Sid Worley in *An Officer and a Gentleman* is the troubled yet loyal Navy aviation officer candidate whose personal struggles and tragic fate provide an emotional counterpoint to the film’s central romance and coming-of-age story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sid Worley in An Officer and a Gentleman Target entity description: Sid Worley in *An Officer and a Gentleman* is the troubled yet loyal Navy aviation officer candidate whose personal struggles and tragic fate provide an emotional counterpoint to the film’s central romance and coming-of-age story.
-
A.
Gunnery Sergeant Emil Foley in An Officer and a Gentleman
Gunnery Sergeant Emil Foley in *An Officer and a Gentleman* is the tough, uncompromising Marine drill instructor who rigorously trains and ultimately mentors the film’s protagonist, Zack Mayo.
-
B.
Fletcher Marron in The Bodyguard
Fletcher Marron in *The Bodyguard* is the young son of pop star Rachel Marron, whose safety becomes a key concern for the titular bodyguard in the 1992 romantic thriller film.
-
C.
Charlie Blackwood in Top Gun
Charlie Blackwood in Top Gun is the civilian astrophysicist and flight instructor who serves as Maverick’s love interest and intellectual counterpart at the elite Navy fighter weapons school.
-
D.
Michael Hunsaker in Lethal Weapon
Michael Hunsaker is a key supporting character in the action film "Lethal Weapon," serving as a troubled Vietnam War veteran and old friend of Roger Murtaugh whose personal tragedy helps drive the movie’s central investigation.
-
E.
Gordon Scott
Gordon Scott was an American actor best known for playing Tarzan in a series of popular 1950s and 1960s adventure films.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab9ea4c81908313b11716ad7c43 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.