Triple
T22855331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Jacquet Carney |
E566463
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Jacquet |
—
|
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: Jacquet | Statement: [Willie Jacquet Carney, middleName, Jacquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacquet Context triple: [Willie Jacquet Carney, middleName, Jacquet]
-
A.
Jacquet
chosen
Jacquet is a French surname most notably associated with Aimé Jacquet, the football manager who led France to victory in the 1998 FIFA World Cup.
-
B.
Paquin
Paquin is a surname most prominently associated with Academy Award–winning actress Anna Paquin.
-
C.
Calixte
Calixte is a given name of Latin origin, commonly used in French-speaking regions and derived from the same root as Calixto.
-
D.
Lloyd Chasseur
Lloyd Chasseur is a central character in the dark comedy film "The Ref," portrayed as a dysfunctional family man whose chaotic Christmas Eve is upended by a burglar-turned-reluctant mediator.
-
E.
Ducrot
Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebc6a088190890f2474f18a10eb |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.