Triple

T20644959
Position Surface form Disambiguated ID Type / Status
Subject Highgate School E507330 entity
Predicate hasAlumni P51 FINISHED
Object Murray Walker 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: Murray Walker | Statement: [Highgate School, hasAlumni, Murray Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray Walker
Context triple: [Highgate School, hasAlumni, Murray Walker]
  • A. Murray Walker chosen
    Murray Walker was a renowned British motorsport commentator best known for his excitable, fast-paced Formula One commentary and distinctive voice.
  • B. Martin Brundle
    Martin Brundle is a former British Formula One driver who became widely known as a leading F1 television commentator and analyst.
  • C. Bill McLaren
    Bill McLaren was a renowned Scottish rugby union commentator, celebrated for his distinctive voice and encyclopedic knowledge of the game.
  • D. Johnny Herbert
    Johnny Herbert is a British former Formula One driver known for his race wins in the 1990s and for overcoming serious injuries early in his career.
  • E. Ken Tyrrell
    Ken Tyrrell was a British motorsport team owner and manager best known for founding and leading the successful Tyrrell Formula One team during the 1960s and 1970s.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1dd79481909de985d03ab861c2 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.