Triple

T13511992
Position Surface form Disambiguated ID Type / Status
Subject Dumfries Academy E322662 entity
Predicate hasNotableAlumnus P51 FINISHED
Object John Laurie E394448 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 Laurie | Statement: [Dumfries Academy, hasNotableAlumnus, John Laurie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Laurie
Context triple: [Dumfries Academy, hasNotableAlumnus, John Laurie]
  • A. John Laurie chosen
    John Laurie was a Scottish actor best known for his roles in classic British films and for playing Private Frazer in the television series "Dad's Army."
  • B. Kurt Farquhar
    Kurt Farquhar is an American television and film composer known for scoring numerous popular series, particularly in comedy and drama.
  • C. Albert Hadley
    Albert Hadley was a prominent American interior designer renowned for his influential partnership with Sister Parish and his refined, modern classic style.
  • D. Frank Mauro
    Frank Mauro is a musician known for being a member of the influential New York punk band Richard Hell and the Voidoids.
  • E. Michael Fagan
    Michael Fagan is a British man best known for breaking into Buckingham Palace and entering Queen Elizabeth II’s bedroom in 1982, one of the most notorious royal security breaches in modern history.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75492676c81909602745e2b6436cb completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.