Triple
T16974449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didier Gailhaguet |
E411773
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Didier |
E608260
|
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: Didier | Statement: [Didier Gailhaguet, givenName, Didier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Didier Context triple: [Didier Gailhaguet, givenName, Didier]
-
A.
Didier
chosen
Didier is a masculine given name of French origin, notably borne by Ivorian football legend Didier Drogba.
-
B.
Thierry
Thierry is a French given name most famously borne by legendary footballer Thierry Henry.
-
C.
Didier Hoarau
Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
-
D.
Didier Aldigier
Didier Aldigier is a French local politician serving as the mayor of the commune of Pont-de-l’Isère in southeastern France.
-
E.
Yannick Durand
Yannick Durand is a person notable enough to be specifically cited as a bearer of the surname Durand.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0af06688190a77682aa297cd27e |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.