Triple
T32588634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prélude à l’après-midi d’un faune |
E832996
|
entity |
| Predicate | notableBalletAdaptationPremiereYear |
P144455
|
FINISHED |
| Object | 1912 |
—
|
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: 1912 | Statement: [Prélude à l’après-midi d’un faune, notableBalletAdaptationPremiereYear, 1912]
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 (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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:04 a.m.