Triple
T12107685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxi Driver (1976 film) score |
E288343
|
entity |
| Predicate | finalFilmScoreBy |
P100749
|
FINISHED |
| Object | Bernard Herrmann |
E55685
|
NE FINISHED |
How this triple was built (3 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: Bernard Herrmann | Statement: [Taxi Driver (1976 film) score, finalFilmScoreBy, Bernard Herrmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Herrmann Context triple: [Taxi Driver (1976 film) score, finalFilmScoreBy, Bernard Herrmann]
-
A.
Bernard Herrmann
chosen
Bernard Herrmann was an influential American composer best known for his innovative and dramatic film scores, including his landmark collaborations with directors Orson Welles and Alfred Hitchcock.
-
B.
Miklós Rózsa
Miklós Rózsa was a Hungarian-American composer renowned for his influential and Oscar-winning film scores during Hollywood’s Golden Age, including classics like Ben-Hur and Double Indemnity.
-
C.
Franz Waxman
Franz Waxman was a German-American composer renowned for his influential and Oscar-winning film scores during Hollywood's Golden Age.
-
D.
Elmer Bernstein
Elmer Bernstein was an American composer renowned for his prolific and influential film scores across genres, including classics like "The Ten Commandments," "The Magnificent Seven," and "To Kill a Mockingbird."
-
E.
Max Steiner
Max Steiner was an Austrian-American composer and conductor renowned as one of the founding fathers of film music, scoring classics such as Gone with the Wind and Casablanca.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalFilmScoreBy Context triple: [Taxi Driver (1976 film) score, finalFilmScoreBy, Bernard Herrmann]
-
A.
finalFilmBy
Indicates that a given film is the last movie directed, produced, or otherwise primarily created by a particular person or entity in their career or filmography.
-
B.
finalFilmPerformanceOf
Indicates that one entity is the last film performance or role undertaken by the other entity before they stopped acting in films.
-
C.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
D.
hasFilmScore
Indicates that one entity serves as the musical score or soundtrack composed for a particular film.
-
E.
hasFilmScoreBy
chosen
Indicates that a film’s musical score was composed or created by a specified person or entity.
- F. None of above.
Provenance (4 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68e9d94b48190b026d5a0ad3d6ce7 |
completed | May 2, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.