Triple

T7749277
Position Surface form Disambiguated ID Type / Status
Subject Brock E175712 entity
Predicate hasNotableBearer P458 FINISHED
Object Peter Brock E93671 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: Peter Brock | Statement: [Brock, hasNotableBearer, Peter Brock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Brock
Context triple: [Brock, hasNotableBearer, Peter Brock]
  • A. Peter Brock chosen
    Peter Brock was a legendary Australian touring car driver, best known for his multiple Bathurst 1000 victories and iconic status in Holden motorsport history.
  • B. Jim May
    Jim May is a film editor best known for his work on major action movies, including the 2010 adaptation of "The A-Team."
  • C. Tom Georgeson
    Tom Georgeson is a British character actor known for his work in film and television, including roles in comedies, dramas, and crime series.
  • D. David Wickes
    David Wickes is a British film and television director known for his work on crime dramas and period pieces, including notable adaptations of classic detective stories.
  • E. Carroll Shelby
    Carroll Shelby was a legendary American automotive designer, racing driver, and entrepreneur best known for creating high-performance cars like the Shelby Cobra and collaborating with Ford on the GT40 program.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b13af08190b110104fe96ef91e completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be53b3788190a850ce1aaaac3aaa completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.