Triple
T9282577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Éléphants |
E223103
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Didier Zokora |
E803133
|
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 Zokora | Statement: [Les Éléphants, notablePlayer, Didier Zokora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Didier Zokora Context triple: [Les Éléphants, notablePlayer, Didier Zokora]
-
A.
Didier Zokora
chosen
Didier Zokora is a retired Ivorian defensive midfielder best known for his long international career with Côte d'Ivoire and club spells at teams such as Tottenham Hotspur and Sevilla.
-
B.
Didier Aldigier
Didier Aldigier is a French local politician serving as the mayor of the commune of Pont-de-l’Isère in southeastern France.
-
C.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
D.
Didier Hoarau
Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
-
E.
Pierre Azaria
Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081d60a88190b49b040d0e7415bf |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bcc15508190b54acd74d4d7c911 |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:34 p.m.