Triple
T12063326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sébastien Auzière |
E287228
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Auzière |
E758536
|
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: Auzière | Statement: [Sébastien Auzière, familyName, Auzière]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auzière Context triple: [Sébastien Auzière, familyName, Auzière]
-
A.
Auzière
chosen
Auzière is a French surname notably borne by Tiphaine Auzière, the lawyer stepdaughter of French President Emmanuel Macron.
-
B.
Aiguèze
Aiguèze is a picturesque medieval village in southern France, known for its hilltop setting overlooking the Ardèche River and its well-preserved historic architecture.
-
C.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
D.
Bédarieux
Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
-
E.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee0597c81909ad679a1ddece887 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:48 p.m.