Triple
T16307948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Éric Piolle |
E395970
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Éric Piolle |
E395970
|
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: Éric Piolle | Statement: [Éric Piolle, name, Éric Piolle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Éric Piolle Context triple: [Éric Piolle, name, Éric Piolle]
-
A.
Éric Piolle
chosen
Éric Piolle is a French Green politician known for serving as the ecologist mayor of Grenoble and promoting progressive, environmentally focused urban policies.
-
B.
Didier Auriol
Didier Auriol is a French rally driver and 1994 World Rally Champion, renowned for his success in the World Rally Championship during the late 1980s and 1990s.
-
C.
Éric Ciotti
Éric Ciotti is a French conservative politician and long-time deputy for the Alpes-Maritimes, known for his hardline positions on security and immigration.
-
D.
Jean-Michel Baylet
Jean-Michel Baylet is a French politician and media executive who has long been a prominent figure of the centre-left Radical Party of the Left and has served in various ministerial roles.
-
E.
Jean-Hugues Anglade
Jean-Hugues Anglade is a French actor and filmmaker best known internationally for his intense performances in films such as "Betty Blue" and "La Femme Nikita."
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d776808190a7c9918477f07216 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa517908190a29caa0156b1d1cd |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.