Triple

T23258384
Position Surface form Disambiguated ID Type / Status
Subject The Day E581935 entity
Predicate director P255 FINISHED
Object Peter Hall 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: Peter Hall | Statement: [The Day, director, Peter Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Hall
Context triple: [The Day, director, Peter Hall]
  • A. Peter Hall chosen
    Peter Hall was a renowned British theatre, film, and opera director, best known as the founder of the Royal Shakespeare Company and former director of the National Theatre.
  • B. Peter Hall
    Peter Hall is an Anglican clergyman who served as the Bishop of Woolwich in the Church of England.
  • C. Charles Tingwell
    Charles Tingwell was an Australian actor and radio personality known for his prolific film and television career, including prominent roles in classic Australian productions.
  • D. James Pavitt
    James Pavitt is a former senior CIA official who served as Deputy Director for Operations, overseeing the agency’s clandestine service and counterterrorism efforts.
  • E. Mark Wigley
    Mark Wigley is a New Zealand-born architectural theorist and historian known for his influential writings on deconstructivist architecture and his tenure as dean of Columbia University's Graduate School of Architecture, Planning and Preservation.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c710c48190aff03d210642a043 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.