Triple
T15689536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bérénice Bejo |
E380288
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Jean Dujardin |
E132556
|
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: Jean Dujardin | Statement: [Bérénice Bejo, workedWith, Jean Dujardin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Dujardin Context triple: [Bérénice Bejo, workedWith, Jean Dujardin]
-
A.
Jean Dujardin
chosen
Jean Dujardin is a French actor and comedian best known internationally for his Oscar-winning performance in the silent film pastiche "The Artist."
-
B.
Guillaume Canet
Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
-
C.
Albert Delpy
Albert Delpy is a French actor and writer known for his work in film and theater, and as the father of filmmaker and actress Julie Delpy.
-
D.
Nicolas Duvauchelle
Nicolas Duvauchelle is a French actor known for his intense performances in film and television, often in gritty crime dramas and character-driven roles.
-
E.
Daniel Auteuil
Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.