Triple
T32588634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prélude à l’après-midi d’un faune |
E832996
|
entity |
| Predicate | notableBalletAdaptationPremiereYear |
—
|
GENERATED |
| Object | 1912 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBalletAdaptationPremiereYear Context triple: [Prélude à l’après-midi d’un faune, notableBalletAdaptationPremiereYear, 1912]
-
A.
premieredInBallet
Indicates that a work or performance had its first public presentation specifically in the context of a ballet production.
-
B.
hasBalletAdaptation
Indicates that one entity has been adapted into a ballet based on it.
-
C.
notableBallet
Indicates that there is a notable or significant ballet associated with the subject.
-
D.
balletTitle
Indicates that the subject has the specified title as the name of a ballet.
-
E.
notableAdaptationYear
chosen
Indicates the year in which a notable adaptation of the subject (such as a book, play, or other work) was released or produced.
- F. None of above.
Provenance (1 batch)
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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1:04 a.m.