Triple

T22014569
Position Surface form Disambiguated ID Type / Status
Subject Fanny and Elvis E543673 entity
Predicate castMember P1668 FINISHED
Object John McArdle 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: John McArdle | Statement: [Fanny and Elvis, castMember, John McArdle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McArdle
Context triple: [Fanny and Elvis, castMember, John McArdle]
  • A. John McArdle chosen
    John McArdle is a British actor known for his work in television dramas and soap operas.
  • B. Jack McClelland
    Jack McClelland was a prominent Canadian publisher known for championing Canadian literature and authors in the mid-20th century.
  • C. John MacDermott
    John MacDermott is a notable individual recognized for bearing the surname MacDermott.
  • D. William Drennan
    William Drennan was an Irish physician, poet, and political radical best known as a leading advocate of Irish republicanism and civil rights in the late 18th and early 19th centuries.
  • E. Tony Geraghty
    Tony Geraghty was a member of the popular Irish cabaret group the Miami Showband who was killed in the notorious 1975 loyalist paramilitary attack in Northern Ireland.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.