Triple
T18139864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Effrontée |
E434232
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Claude Miller |
—
|
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: Claude Miller | Statement: [L'Effrontée, producer, Claude Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude Miller Context triple: [L'Effrontée, producer, Claude Miller]
-
A.
Claude Miller
chosen
Claude Miller was a French film director and screenwriter known for his psychologically nuanced dramas and collaborations with François Truffaut’s cinematic tradition.
-
B.
Claude Moreau
Claude Moreau is a French painter known for his 19th-century academic and genre scenes.
-
C.
Claude Mellan
Claude Mellan was a 17th-century French engraver and painter renowned for his innovative single-line engraving technique and expressive portraits.
-
D.
Claude Brossolette
Claude Brossolette is the son of French Resistance hero and journalist Pierre Brossolette.
-
E.
Gerald Gouriet
Gerald Gouriet is a composer best known for his work on film and television scores, including the music for the crime drama "L.A. Takedown."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.