Triple
T9759568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolat |
E236634
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Anouk Rocher |
E667170
|
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: Anouk Rocher | Statement: [Chocolat, mainCharacter, Anouk Rocher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anouk Rocher Context triple: [Chocolat, mainCharacter, Anouk Rocher]
-
A.
Ludivine Sagnier
chosen
Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
-
B.
Amandine Malkovich
Amandine Malkovich is one of the children of American actor and filmmaker John Malkovich.
-
C.
Emmanuelle Devos
Emmanuelle Devos is an acclaimed French actress known for her nuanced performances in contemporary French cinema, often collaborating with prominent auteurs.
-
D.
Sandrine Kiberlain
Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
-
E.
Anouk Aimée
Anouk Aimée was a celebrated French actress known for her enigmatic screen presence and acclaimed performances in films such as "La Dolce Vita" and "A Man and a Woman."
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcdbdbcc8190b2c454729a50f7fb |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:24 p.m.