Triple
T32588633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prélude à l’après-midi d’un faune |
E832996
|
entity |
| Predicate | notableBalletAdaptationCompany |
P84424
|
FINISHED |
| Object | Ballets Russes |
E41277
|
NE 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: Ballets Russes | Statement: [Prélude à l’après-midi d’un faune, notableBalletAdaptationCompany, Ballets Russes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBalletAdaptationCompany Context triple: [Prélude à l’après-midi d’un faune, notableBalletAdaptationCompany, Ballets Russes]
-
A.
notableBallet
Indicates that there is a notable or significant ballet associated with the subject.
-
B.
balletCompany
Indicates that one entity is a ballet company associated with, representing, or responsible for another entity (such as a performance, dancer, or production).
-
C.
hasBalletAdaptation
Indicates that one entity has been adapted into a ballet based on it.
-
D.
balletsRussesProduction
chosen
Indicates that one entity is a production created or staged by the Ballets Russes company in relation to another entity.
-
E.
balletCompanyAssociation
Indicates an affiliation or formal relationship between an entity and a ballet company, such as membership, employment, or representation.
- F. None of above.
Provenance (4 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a347baa865481908c792a8fa01b3135 |
completed | June 18, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:04 a.m.