Triple
T9293328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle de Jour |
E223573
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | Valoria Films |
E790735
|
NE 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: Valoria Films | Statement: [Belle de Jour, distributedBy, Valoria Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valoria Films Context triple: [Belle de Jour, distributedBy, Valoria Films]
-
A.
Valoria Films
chosen
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
B.
Diaphana Films
Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
-
C.
Tornasol Films
Tornasol Films is a Spanish film production company known for co-producing acclaimed international films, including Ken Loach’s award-winning drama "The Wind That Shakes the Barley."
-
D.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
E.
Pantelion Films
Pantelion Films is a film production and distribution company known for specializing in Latino-focused and Spanish-language movies, formed as a joint venture between Lionsgate and Televisa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0898b3288190a627a58bfd9c57fe |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3865ef081909f5f258cac44ae8b |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:35 p.m.