Triple
T5564144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alizée Jacotey |
E145838
|
entity |
| Predicate | spouse |
P13
|
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: [Alizée Jacotey, spouse, Grégoire Lyonnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grégoire Lyonnet Context triple: [Alizée Jacotey, spouse, 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.
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.
-
C.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
D.
Luc Teyssier
Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
-
E.
Laurent Barès
Laurent Barès is a French cinematographer known for his work on genre films, particularly in horror and action.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02032330c819094f2bc1e8c93a5b6 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62cddd8188190928e01ba450637c2 |
completed | March 27, 2026, 7:08 a.m. |
Created at: March 22, 2026, 3:36 p.m.