Triple
T16430151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yannick |
E399050
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Yannick Agnel |
E1050909
|
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: Yannick Agnel | Statement: [Yannick, hasNotableBearer, Yannick Agnel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yannick Agnel Context triple: [Yannick, hasNotableBearer, Yannick Agnel]
-
A.
Yannick Agnel
chosen
Yannick Agnel is a French Olympic and world champion freestyle swimmer known for his dominance in middle-distance events, particularly at the 2012 London Games.
-
B.
Arnaud Péricard
Arnaud Péricard is a French politician and lawyer known for serving as the mayor of the affluent Parisian suburb of Saint-Germain-en-Laye.
-
C.
Fabrice Lecomte
Fabrice Lecomte is a composer and musician best known for creating the musical score for the romantic drama film "Sylvie’s Love."
-
D.
Jean Pascal
Jean Pascal is a Haitian-Canadian professional boxer and former light heavyweight world champion known for his explosive style and high-profile title fights.
-
E.
Didier Hoarau
Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fe0f488190ac34aa677c980a20 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004584fa508190a85b1f79ecf9c258 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.