Triple
T31944960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassandre |
E815624
|
entity |
| Predicate | notableProductionContext |
P46117
|
FINISHED |
| Object | French grand opera repertoire |
—
|
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: French grand opera repertoire | Statement: [Cassandre, notableProductionContext, French grand opera repertoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableProductionContext Context triple: [Cassandre, notableProductionContext, French grand opera repertoire]
-
A.
notableProductionPresented
Indicates that a particular production has been prominently presented or staged by a given entity, such as a venue, company, or organization.
-
B.
notableProductionFor
Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
-
C.
notableProductionType
chosen
Indicates that the subject is particularly known for producing or creating instances of the specified type.
-
D.
notableTelevisionProduction
Indicates that the subject is significantly associated with the creation or production of the referenced television work.
-
E.
notableProductionFact
Indicates a noteworthy or distinctive fact about how something was produced, created, or manufactured.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:06 a.m.