Triple
T20446068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Title Theme (Billy) |
E501520
|
entity |
| Predicate | musicForSceneType |
P118333
|
FINISHED |
| Object | main titles |
—
|
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: main titles | Statement: [Main Title Theme (Billy), musicForSceneType, main titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicForSceneType Context triple: [Main Title Theme (Billy), musicForSceneType, main titles]
-
A.
musicMood
Indicates the emotional tone or atmosphere conveyed by a piece of music or musical performance.
-
B.
musicThemeType
chosen
Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
-
C.
themeMusicFor
Indicates that one entity serves as the theme music or signature tune specifically composed or selected for another entity, such as a show, character, or event.
-
D.
musicalScene
Indicates a relationship where a scene in a work prominently features musical performance or music-driven action.
-
E.
musicForModernScreeningsBy
Indicates that the associated entity is the creator or provider of music specifically composed or arranged for modern screenings of a work (such as a film or silent movie).
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfd84c08190a3f971f1cd279715 |
completed | April 20, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.