Triple
T24292036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Tierney as Laura Hunt |
E605848
|
entity |
| Predicate | musicComposerOfFilm |
P37392
|
FINISHED |
| Object | David Raksin |
—
|
NE NERFINISHED |
How this triple was built (2 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: David Raksin | Statement: [Gene Tierney as Laura Hunt, musicComposerOfFilm, David Raksin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicComposerOfFilm Context triple: [Gene Tierney as Laura Hunt, musicComposerOfFilm, David Raksin]
-
A.
musicForFilmByDirector
Indicates that a piece of music is created, selected, or used specifically for a film directed by the given director.
-
B.
composerOfSoundtrackFor
Indicates that one entity created the musical score or soundtrack specifically for a work associated with another entity.
-
C.
soundtrackLyricist
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
-
D.
filmMusicBy
chosen
Indicates that a film’s musical score or soundtrack was composed or created by a particular person or group.
-
E.
musicDirectorTitle
Indicates the formal title or designation held by a person in their role as a music director.
- F. None of above.
Provenance (3 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29156ab8081909435b7178e9889bc |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.