Triple

T4920710
Position Surface form Disambiguated ID Type / Status
Subject TT E110456 entity
Predicate famousRider P60041 FINISHED
Object Mike Hailwood E110455 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: Mike Hailwood | Statement: [TT, famousRider, Mike Hailwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Hailwood
Context triple: [TT, famousRider, Mike Hailwood]
  • A. Mike Hailwood chosen
    Mike Hailwood was a legendary British motorcycle racer, widely regarded as one of the greatest in the sport’s history for his multiple world championships and iconic road racing victories.
  • B. Walter Shenson
    Walter Shenson was an American film producer best known for producing the Beatles' classic films "A Hard Day's Night" and "Help!".
  • C. Bruce McLaren
    Bruce McLaren was a New Zealand racing driver, engineer, and founder of the McLaren Formula One team, renowned for his contributions to motorsport both on and off the track.
  • D. Daniel Gurney
    Daniel Gurney was a 19th-century English banker, antiquary, and genealogist from the prominent Gurney family of Norfolk.
  • E. Barney Barnato
    Barney Barnato was a prominent 19th-century British diamond magnate and financier who rose from humble origins to become one of the leading figures in South Africa’s diamond industry.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7163789c81909d5c7d0f6756ca58 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff4acd88190a308fbac84d3bad9 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:30 p.m.