Triple
T20434746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiet Nights |
E501222
|
entity |
| Predicate | includesMusicalEnsemble |
P55033
|
FINISHED |
| Object | orchestra |
—
|
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: orchestra | Statement: [Quiet Nights, includesMusicalEnsemble, orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMusicalEnsemble Context triple: [Quiet Nights, includesMusicalEnsemble, orchestra]
-
A.
hasMusicalEnsembleType
Indicates that an entity is associated with or classified as a particular type of musical ensemble.
-
B.
hasMusicalEnsemble
chosen
Indicates that one entity is associated with or includes a particular musical ensemble (such as a band, orchestra, or group) as part of its activities or composition.
-
C.
hasMusicalEnsembleGenre
Indicates that a musical ensemble is associated with or performs in a particular musical genre.
-
D.
usesMusicEnsemble
Indicates that one entity employs or incorporates a particular music ensemble in carrying out an action, function, or production.
-
E.
isPartOfEnsemble
Indicates that an entity belongs to, or is a member of, a larger group or ensemble.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ecf7ac81908e9c2ef4348fb281 |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:31 a.m.