Triple
T29839484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Spectre de la rose |
E757745
|
entity |
| Predicate | originalMaleLeadDancer |
P201214
|
FINISHED |
| Object | Vaslav Nijinsky |
—
|
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: Vaslav Nijinsky | Statement: [Le Spectre de la rose, originalMaleLeadDancer, Vaslav Nijinsky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMaleLeadDancer Context triple: [Le Spectre de la rose, originalMaleLeadDancer, Vaslav Nijinsky]
-
A.
originalMaleLeadRole
Indicates that an entity was the first male actor to play a particular leading role in a work or production.
-
B.
maleLeadActor
Indicates that the subject is the primary male actor in a performance or production.
-
C.
dancePartner
Indicates that two entities are engaged in or paired together for a dance.
-
D.
leadMaleRoleType
Indicates that an entity holds the primary or leading male role type within a given context or production.
-
E.
leadMaleCharacterName
Indicates the name assigned to the primary male character in a narrative or work.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffdf47d9608190830ca23d9cef6409 |
completed | May 10, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ffdf00e2b4819082dd5cb78f316baf |
completed | May 10, 2026, 1:27 a.m. |
| PDg | Predicate description generation | batch_69ffdf46e18c8190a5e4f4e5211cb087 |
completed | May 10, 2026, 1:28 a.m. |
Created at: April 29, 2026, 5:38 p.m.