Triple

T20508018
Position Surface form Disambiguated ID Type / Status
Subject Giggleswick School E503483 entity
Predicate hasAlumni P51 FINISHED
Object Barry Cryer 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: Barry Cryer | Statement: [Giggleswick School, hasAlumni, Barry Cryer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barry Cryer
Context triple: [Giggleswick School, hasAlumni, Barry Cryer]
  • A. Barry Cryer chosen
    Barry Cryer was a British comedian, writer, and broadcaster renowned for his long-running contributions to radio and television comedy.
  • B. David Cryer
    David Cryer is an American actor and singer known for his work in film, television, and on Broadway.
  • C. Ronnie Barker
    Ronnie Barker was a celebrated English comedian and actor best known for his work in classic British television sitcoms such as "Porridge" and "The Two Ronnies."
  • D. Peter Aykroyd
    Peter Aykroyd was a Canadian actor, comedian, and writer, and the younger brother of Dan Aykroyd, known for his work on Saturday Night Live and in film and television.
  • E. Bill Naughton
    Bill Naughton was an Irish-born British playwright and screenwriter best known for his working-class dramas, including the play "Alfie" which was adapted into a successful film.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc8f3c881908ed2e0257a057e73 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.