Triple

T20585916
Position Surface form Disambiguated ID Type / Status
Subject Jay Robinson E505786 entity
Predicate name P16 FINISHED
Object Jay Robinson 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: Jay Robinson | Statement: [Jay Robinson, name, Jay Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Robinson
Context triple: [Jay Robinson, name, Jay Robinson]
  • A. Jay Robinson chosen
    Jay Robinson was an American character actor best known for his flamboyant portrayals of historical and villainous figures in mid-20th-century film and television.
  • B. Ben Robinson
    Ben Robinson is a British chef and reality television personality best known for his charismatic role as the head chef on Bravo’s yachting series Below Deck and its spin-offs.
  • C. Ben Robinson
    Ben Robinson is a long-serving English football executive best known for leading Burton Albion F.C. through its rise from non-league football into the English Football League.
  • D. Tony Hodges
    Tony Hodges is known primarily as the former husband of Australian right-wing politician and One Nation party founder Pauline Hanson.
  • E. Lloyd Osbourne
    Lloyd Osbourne was an American author and stepson and frequent collaborator of Robert Louis Stevenson, with whom he co-wrote several novels and stories.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a976bca4819086a4949e299159b5 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.