Triple
T4696696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouse Hunt (film score) |
E104160
|
entity |
| Predicate | partOfFilmMusicTradition |
P526
|
FINISHED |
| Object | Hollywood film scores |
—
|
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: Hollywood film scores | Statement: [Mouse Hunt (film score), partOfFilmMusicTradition, Hollywood film scores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfFilmMusicTradition Context triple: [Mouse Hunt (film score), partOfFilmMusicTradition, Hollywood film scores]
-
A.
musicTradition
chosen
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
-
B.
partOfMusical
Indicates that something is a component, segment, or element belonging to a larger musical work or performance.
-
C.
filmMusicBy
Indicates that a film’s musical score or soundtrack was composed or created by a particular person or group.
-
D.
isSoundtrackOf
Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
-
E.
hasMusicFilm
Indicates a relationship where a subject is associated with or linked to a film that features or centers around music.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.