Triple
T10036824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bande à part |
E205190
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Anouchka Films |
E752298
|
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: Anouchka Films | Statement: [Bande à part, productionCompany, Anouchka Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anouchka Films Context triple: [Bande à part, productionCompany, Anouchka Films]
-
A.
Anouchka Films
chosen
Anouchka Films is a film production company known for producing works such as Jean-Luc Godard’s 1967 political drama "La Chinoise."
-
B.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
-
C.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
D.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
E.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4bb3408190ac5dae4718ef7cad |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28258ab088190a31ad5854d91193b |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.