Triple
T3150359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodnights |
E65861
|
entity |
| Predicate | audioElement |
P27310
|
FINISHED |
| Object | closing music |
—
|
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: closing music | Statement: [Goodnights, audioElement, closing music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioElement Context triple: [Goodnights, audioElement, closing music]
-
A.
musicElement
chosen
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
-
B.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
-
C.
usesAudioFrom
Indicates that one entity incorporates or relies on the audio content produced or provided by another entity.
-
D.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
E.
audioOnlyFeatureIntroduced
Indicates that a feature has been introduced which supports or enables audio-only functionality, without accompanying visual content.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5bf902c8190a490fa55e2dcecc0 |
completed | March 8, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.