Triple
T22175410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Flight |
E548035
|
entity |
| Predicate | hasFilmMusicFunction |
P92004
|
FINISHED |
| Object | action cue |
—
|
LITERAL FINISHED |
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: action cue | Statement: [Final Flight, hasFilmMusicFunction, action cue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmMusicFunction Context triple: [Final Flight, hasFilmMusicFunction, action cue]
-
A.
hasMusicFilm
Indicates a relationship where a subject is associated with or linked to a film that features or centers around music.
-
B.
isFromMusicalFilm
Indicates that something originates from, or is part of, a musical film production.
-
C.
hasSoundtrackCharacteristic
chosen
Indicates that a soundtrack possesses a specified quality, feature, or attribute.
-
D.
musicForFilmByDirector
Indicates that a piece of music is created, selected, or used specifically for a film directed by the given director.
-
E.
hasMusicFilmSeries
Indicates that a subject is associated with or includes a series of films that are centered around music or musical themes.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6b755c81909e9bd2a588c065b3 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.