Triple
T13310405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent Chalet |
E317045
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Luc Jacquet |
E317042
|
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: Luc Jacquet | Statement: [Laurent Chalet, collaboratedWith, Luc Jacquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luc Jacquet Context triple: [Laurent Chalet, collaboratedWith, Luc Jacquet]
-
A.
Luc Jacquet
chosen
Luc Jacquet is a French filmmaker best known for his Oscar-winning nature documentary "March of the Penguins," which brought international attention to emperor penguins and environmental issues.
-
B.
Jean-Louis Roux
Jean-Louis Roux was a Canadian actor, stage director, and politician who co-founded Montreal’s Théâtre du Nouveau Monde and later served as a senator and briefly as Quebec’s lieutenant governor.
-
C.
Didier Aldigier
Didier Aldigier is a French local politician serving as the mayor of the commune of Pont-de-l’Isère in southeastern France.
-
D.
Didier Hoarau
Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
-
E.
Juan Laporte
Juan Laporte is a former Puerto Rican professional boxer and WBC featherweight champion known for his toughness and for facing many of the top fighters of his era.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d80a8708190a3a7616dbeb2c0de |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:29 p.m.