Triple
T36919358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Vénus à la fourrure |
E913136
|
entity |
| Predicate | numberOfMainActors |
P153783
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [La Vénus à la fourrure, numberOfMainActors, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainActors Context triple: [La Vénus à la fourrure, numberOfMainActors, 2]
-
A.
numberOfActors
Indicates the total count of actors associated with a given entity or context.
-
B.
numberOfMainPerformers
Indicates the count of primary performers involved in a performance or event.
-
C.
numberOfDirectors
Indicates the total count of directors associated with a given entity.
-
D.
hasMainStars
Indicates that an entity (such as a film, show, or performance) features the specified entities as its principal or leading performers.
-
E.
hasMainCastSize
chosen
Indicates the relationship that specifies the number of principal or main cast members associated with an entity.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.