Triple
T29325019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Concert |
E743616
|
entity |
| Predicate | balletCompanyInRepertoire |
P12051
|
FINISHED |
| Object | New York City Ballet |
—
|
NE NERFINISHED |
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: New York City Ballet | Statement: [The Concert, balletCompanyInRepertoire, New York City Ballet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balletCompanyInRepertoire Context triple: [The Concert, balletCompanyInRepertoire, New York City Ballet]
-
A.
balletCompany
chosen
Indicates that one entity is a ballet company associated with, representing, or responsible for another entity (such as a performance, dancer, or production).
-
B.
repertoryCompany
Indicates that an entity is a theatrical or performance group that regularly presents a rotating selection of works, often with a resident ensemble of performers.
-
C.
balletCompanyAssociation
Indicates an affiliation or formal relationship between an entity and a ballet company, such as membership, employment, or representation.
-
D.
balletsRussesProduction
Indicates that one entity is a production created or staged by the Ballets Russes company in relation to another entity.
-
E.
balletInActs
Indicates that a ballet is structured or divided into a specified number of acts.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 1:25 p.m.