Triple
T12686138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polisse |
E303071
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Emmanuelle Bercot |
E998923
|
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: Emmanuelle Bercot | Statement: [Polisse, starring, Emmanuelle Bercot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmanuelle Bercot Context triple: [Polisse, starring, Emmanuelle Bercot]
-
A.
Emmanuelle Bercot
chosen
Emmanuelle Bercot is a French actress, screenwriter, and film director known for her socially engaged dramas and award-winning performances.
-
B.
Emmanuelle Vaugier
Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
-
C.
Camille Doncieux
Camille Doncieux was the first wife and frequent model of French Impressionist painter Claude Monet, known for appearing in many of his early masterpieces.
-
D.
Annick Castiaux
Annick Castiaux is a Belgian academic and university leader who serves as rector of the University of Namur.
-
E.
Doriane Bécue
Doriane Bécue is a French politician who serves as the mayor of the city of Tourcoing in northern France.
- 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_69f67c7a79908190b83a868090990bbe |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.