Triple
T9719714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Swan Pas de deux |
E235431
|
entity |
| Predicate | typicalMusicInstrumentation |
P12878
|
FINISHED |
| Object | symphony 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: symphony orchestra | Statement: [White Swan Pas de deux, typicalMusicInstrumentation, symphony orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMusicInstrumentation Context triple: [White Swan Pas de deux, typicalMusicInstrumentation, symphony orchestra]
-
A.
musicInstrumentation
chosen
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
B.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
C.
traditionalInstrument
Indicates that an entity is a musical instrument associated with the traditional or customary music of a particular culture, region, or community.
-
D.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
E.
instrumentalIn
Indicates that one entity serves as a crucial means, tool, or contributing factor in bringing about an outcome or enabling another entity’s action or effect.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.