Triple
T18252967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Convoyeur |
E437144
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Gilles Lellouche |
—
|
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: Gilles Lellouche | Statement: [Le Convoyeur, stars, Gilles Lellouche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilles Lellouche Context triple: [Le Convoyeur, stars, Gilles Lellouche]
-
A.
Gilles Lellouche
chosen
Gilles Lellouche is a French actor and director known for his roles in contemporary French cinema, including thrillers and ensemble dramas.
-
B.
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.
-
C.
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.
-
D.
Alain Attal
Alain Attal is a French film producer known for his work on numerous acclaimed contemporary French movies.
-
E.
Brice Gayet
Brice Gayet is a French surgeon and medical professor known for his work in minimally invasive and laparoscopic surgery.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd81ea3481909d96b5399f7a32b3 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.