Triple
T8770531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petrushka |
E208446
|
entity |
| Predicate | firstPerformanceCompanyDancers |
P85297
|
FINISHED |
| Object | Ballets Russes dancers |
—
|
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: Ballets Russes dancers | Statement: [Petrushka, firstPerformanceCompanyDancers, Ballets Russes dancers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformanceCompanyDancers Context triple: [Petrushka, firstPerformanceCompanyDancers, Ballets Russes dancers]
-
A.
firstPerformanceCompany
Indicates the company that first performed or premiered a given work or production.
-
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.
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.
-
D.
firstPerformanceCurrentName
Indicates the earliest performance or appearance at which an entity was presented under its current name.
-
E.
firstPerformanceTheatre
Indicates the theatre where an entity (such as a play or performance) was first performed.
- F. None of above. chosen
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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2b08f881909f3d4fab2eda1d67 |
completed | March 31, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.