Triple
T12686136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polisse |
E303071
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nicolas Duvauchelle |
E878225
|
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: Nicolas Duvauchelle | Statement: [Polisse, starring, Nicolas Duvauchelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolas Duvauchelle Context triple: [Polisse, starring, Nicolas Duvauchelle]
-
A.
Nicolas Duvauchelle
chosen
Nicolas Duvauchelle is a French actor known for his intense performances in film and television, often in gritty crime dramas and character-driven roles.
-
B.
Éric Pascal
Éric Pascal is a person notable enough to be recognized as a significant bearer of the surname Pascal.
-
C.
Alain Attal
Alain Attal is a French film producer known for his work on numerous acclaimed contemporary French movies.
-
D.
Xavier Beauvois
Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
-
E.
Pierre Lellouche
Pierre Lellouche is a French politician and lawyer who has served as a deputy in the National Assembly and held various governmental roles, particularly in foreign affairs and European policy.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e2292c8190bffb3a8b6e15029c |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:21 p.m.