Triple
T36919356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Vénus à la fourrure |
E913136
|
entity |
| Predicate | distributorFrance |
P1951
|
FINISHED |
| Object | RP Distribution |
—
|
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: RP Distribution | Statement: [La Vénus à la fourrure, distributorFrance, RP Distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributorFrance Context triple: [La Vénus à la fourrure, distributorFrance, RP Distribution]
-
A.
distributorCountry
Indicates the country in which the distributor of an item, product, or work is located or operates.
-
B.
distributorInUnitedStates
Indicates that an entity serves as a distributor operating within the United States.
-
C.
distributor
chosen
Indicates that an entity is responsible for supplying, delivering, or making another entity’s products or materials available to others.
-
D.
franchiseDistributor
Indicates that one entity is authorized to distribute or sell the products or services of another entity under a franchise agreement.
-
E.
distributorType
Indicates the specific category or role of a distributor in relation to the distribution of a product or service.
- 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_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.