Triple
T10511661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiggins |
E247928
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bradley Wiggins |
E368157
|
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: Bradley Wiggins | Statement: [Wiggins, hasNotableBearer, Bradley Wiggins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradley Wiggins Context triple: [Wiggins, hasNotableBearer, Bradley Wiggins]
-
A.
Bradley Wiggins
chosen
Bradley Wiggins is a British former professional cyclist renowned for winning the Tour de France and multiple Olympic gold medals, and for his versatility on both track and road.
-
B.
Nicholas Froome
Nicholas Froome is a music producer known for his work on the song "Please."
-
C.
Chris Hoy
Chris Hoy is a British former track cyclist and multiple Olympic and world champion, widely regarded as one of the most successful cyclists in history.
-
D.
Chris Hoy
Chris Hoy is an American politician who serves as the mayor of Salem, Oregon.
-
E.
David Weir
David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b5fcb8819087a23a2b26aecd70 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcf65f808190993dbacde2df20eb |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:27 p.m.