Triple

T12599664
Position Surface form Disambiguated ID Type / Status
Subject Harry Boot E300822 entity
Predicate coInventedWith P1858 FINISHED
Object John Randall E314457 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: John Randall | Statement: [Harry Boot, coInventedWith, John Randall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Randall
Context triple: [Harry Boot, coInventedWith, John Randall]
  • A. John Randall chosen
    John Randall was a British physicist and biophysicist known for his leadership in molecular biology research at King's College London, where crucial work on the structure of DNA was carried out.
  • B. John Ernest Randall
    John Ernest Randall was a physicist and academic known for his contributions to nuclear physics and for being a prominent student of Ernest Marsden.
  • C. Freeman A. Davies
    Freeman A. Davies is a film editor best known for his work on the action-comedy movie "48 Hrs."
  • D. John Charles Woodward
    John Charles Woodward was an educator and philanthropist best known for establishing Woodward Academy, a prominent independent school in Georgia.
  • E. Robert Leighton
    Robert Leighton is a film editor known for his work on notable movies including the baseball romantic comedy "Bull Durham."
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d096d08190afa1f685bad68d35 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6ddfdc81908df8baa701ed1fbf completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:09 p.m.