Triple
T18065415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didier Auriol |
E432280
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Auriol |
—
|
NE NERFINISHED |
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: Auriol | Statement: [Didier Auriol, familyName, Auriol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auriol Context triple: [Didier Auriol, familyName, Auriol]
-
A.
Auriol
chosen
Auriol is a French surname most notably borne by Vincent Auriol, the first president of the Fourth French Republic.
-
B.
Artouste
Artouste is a small ski resort in the French Pyrenees known for its scenic slopes overlooking the Ossau Valley and its historic mountain railway.
-
C.
Thielle
Thielle is a river in western Switzerland that flows from Lake Biel toward Lake Neuchâtel and forms part of the region’s interconnected lake and waterway system.
-
D.
Altilia
Altilia is the modern Italian village that encompasses the archaeological remains of the ancient Roman town of Saepinum in the Molise region.
-
E.
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce81de88190bd94d4ccee3e180c |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.