Triple
T9719712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Swan Pas de deux |
E235431
|
entity |
| Predicate | typicalCostumeColorForOdette |
P66037
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [White Swan Pas de deux, typicalCostumeColorForOdette, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCostumeColorForOdette Context triple: [White Swan Pas de deux, typicalCostumeColorForOdette, white]
-
A.
colorAssociatedWithCostume
chosen
Indicates that a particular color is thematically or typically linked to a specific costume.
-
B.
originalCostumeColor
Indicates the color that a costume originally had before any changes, damage, or alterations.
-
C.
costumeContext
Indicates the situational or narrative context in which a costume is used, such as the event, setting, or role it is associated with.
-
D.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
E.
danceRole
Indicates that one entity has a specific role or function within a dance performed with or in relation to another entity.
- 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.