Triple
T1318528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Lights |
E28161
|
entity |
| Predicate | soundtrackType |
P26958
|
FINISHED |
| Object | synchronized musical score |
—
|
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: synchronized musical score | Statement: [City Lights, soundtrackType, synchronized musical score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundtrackType Context triple: [City Lights, soundtrackType, synchronized musical score]
-
A.
filmSoundtrackFor
Indicates that a particular soundtrack is created for, associated with, or used as the official musical accompaniment to a specific film.
-
B.
soundtrackProducer
Indicates that one entity is the producer responsible for creating or overseeing the soundtrack associated with another entity (such as a film, game, or show).
-
C.
soundFilm
Indicates that a film includes synchronized recorded sound, such as dialogue, music, or effects, rather than being silent.
-
D.
isSoundFilm
Indicates that a film includes synchronized recorded sound as an integral part of its presentation, rather than being a silent film.
-
E.
musicBrainzType
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
- F. None of above. chosen
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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c176c89881909e9dc0e34f12f056 |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfc2134c81909cbaaa151d96e9a8 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:55 p.m.