Triple
T10256761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grégoire Lyonnet |
E240489
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Grégoire Lyonnet |
E240489
|
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: Grégoire Lyonnet | Statement: [Grégoire Lyonnet, name, Grégoire Lyonnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grégoire Lyonnet Context triple: [Grégoire Lyonnet, name, Grégoire Lyonnet]
-
A.
Grégoire Lyonnet
chosen
Grégoire Lyonnet is a French professional dancer best known for his appearances on the TV show "Danse avec les stars" and his marriage to singer Alizée.
-
B.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
C.
Grégory Garestier
Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
-
D.
Frédéric Boissonnas
Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
-
E.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24d299881909615872e2777bdea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b0e4eac8190af28db3d334852cb |
completed | April 10, 2026, 9:26 p.m. |
Created at: April 6, 2026, 11:31 a.m.