Triple

T18207540
Position Surface form Disambiguated ID Type / Status
Subject High-Rise E435944 entity
Predicate mainCharacter P1183 FINISHED
Object Robert Laing NE NERFINISHED

How this triple was built (3 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: Robert Laing | Statement: [High-Rise, mainCharacter, Robert Laing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Laing
Context triple: [High-Rise, mainCharacter, Robert Laing]
  • A. Hugh Laing
    Hugh Laing was a prominent mid-20th-century ballet dancer and actor, best known for his work with choreographer Antony Tudor and performances with major ballet companies.
  • B. David Laing
    David Laing was a 19th-century English clergyman and educational reformer best known for establishing Queen’s College, London, one of the first institutions to offer higher education to women in the UK.
  • C. Douglas Rae
    Douglas Rae is a British film and television producer known for founding Ecosse Films and producing acclaimed dramas and feature films.
  • D. Edward Glendinning
    Edward Glendinning is a central fictional character in Sir Walter Scott’s novel "The Monastery," around whom much of the story’s religious and familial conflict revolves.
  • E. Kenneth Muir
    Kenneth Muir was a prominent British literary scholar and Shakespearean critic known for his influential editions and analyses of Elizabethan and Jacobean drama.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert Laing
Target entity description: Robert Laing is the introspective physiologist protagonist of J.G. Ballard’s dystopian novel "High-Rise," whose experiences reflect the psychological and social breakdown within a luxury apartment tower.
  • A. Hugh Laing
    Hugh Laing was a prominent mid-20th-century ballet dancer and actor, best known for his work with choreographer Antony Tudor and performances with major ballet companies.
  • B. David Laing
    David Laing was a 19th-century English clergyman and educational reformer best known for establishing Queen’s College, London, one of the first institutions to offer higher education to women in the UK.
  • C. Douglas Rae
    Douglas Rae is a British film and television producer known for founding Ecosse Films and producing acclaimed dramas and feature films.
  • D. Edward Glendinning
    Edward Glendinning is a central fictional character in Sir Walter Scott’s novel "The Monastery," around whom much of the story’s religious and familial conflict revolves.
  • E. Kenneth Muir
    Kenneth Muir was a prominent British literary scholar and Shakespearean critic known for his influential editions and analyses of Elizabethan and Jacobean drama.
  • F. None of above. chosen

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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2243de081908a5bcc7e2072eae7 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.