Triple
T22995014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitchell Wiggins |
E572163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wiggins |
—
|
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: Wiggins | Statement: [Mitchell Wiggins, familyName, Wiggins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiggins Context triple: [Mitchell Wiggins, familyName, Wiggins]
-
A.
Wiggins
chosen
Wiggins is a surname most prominently associated with American former WNBA basketball player Candice Wiggins.
-
B.
Wiggins
Wiggins is a small city in Stone County, Mississippi, known for its pine forests and role as a local commercial center in the southern part of the state.
-
C.
Wiggo
Wiggo is the popular nickname of British former professional cyclist Bradley Wiggins, a multiple Olympic champion and Tour de France winner.
-
D.
De Winne
De Winne is the surname of Frank De Winne, a Belgian Air Force officer and European Space Agency astronaut known for commanding the International Space Station.
-
E.
Winson
Winson is a small village in the Cotswolds region of Gloucestershire, England, known for its picturesque rural setting and traditional stone cottages.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f25af48190a98b7baeec824ae6 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.