Triple
T18139914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bûche |
E434233
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Emmanuelle Béart |
—
|
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: Emmanuelle Béart | Statement: [La Bûche, castMember, Emmanuelle Béart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmanuelle Béart Context triple: [La Bûche, castMember, Emmanuelle Béart]
-
A.
Emmanuelle Béart
chosen
Emmanuelle Béart is a French actress acclaimed for her performances in films such as "Manon des Sources" and "Mission: Impossible."
-
B.
Emmanuelle Mimieux
Emmanuelle Mimieux is an alias used by the character Shosanna Dreyfus in Quentin Tarantino’s film "Inglourious Basterds."
-
C.
Emmanuelle Seigner
Emmanuelle Seigner is a French actress, former model, and singer known for her frequent collaborations with director Roman Polanski in films such as "Frantic," "Bitter Moon," and "The Ninth Gate."
-
D.
Edwige Fenech
Edwige Fenech is an Italian actress and film producer best known as a major star of 1970s giallo thrillers and sex-comedy films.
-
E.
Emmanuelle Chriqui
Emmanuelle Chriqui is a Canadian actress best known for her roles in the HBO series "Entourage" and various film and television projects.
- 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.