Triple

T6711214
Position Surface form Disambiguated ID Type / Status
Subject Bradley E153144 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: [Bradley, hasNotableBearer, Bradley Wiggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradley Wiggins
Context triple: [Bradley, 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. 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.
  • C. Chris Hoy
    Chris Hoy is an American politician who serves as the mayor of Salem, Oregon.
  • D. 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.
  • E. Peter Thorpe
    Peter Thorpe is a British artist and illustrator best known for his distinctive, colorful cover art for science fiction novels.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d107380481909cc761dc182834c1 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700924fdc8190990187fbc1b3ab20 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.