Triple

T22994151
Position Surface form Disambiguated ID Type / Status
Subject Squares of the City E572135 entity
Predicate author P4 FINISHED
Object John Brunner 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 Brunner | Statement: [Squares of the City, author, John Brunner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Brunner
Context triple: [Squares of the City, author, John Brunner]
  • A. John Brunner chosen
    John Brunner was a British science fiction author renowned for his socially and politically incisive novels that helped define the New Wave movement in the 1960s and 1970s.
  • B. Brian W. Aldiss
    Brian W. Aldiss was a British science fiction author and critic known for his innovative novels, short stories, and influential role in shaping modern speculative fiction.
  • C. Jack Williamson
    Jack Williamson was an influential American science fiction author whose long career and imaginative works helped define the genre’s Golden Age.
  • D. John Ballard
    John Ballard was a 16th-century English Jesuit priest best known for his involvement in the Babington Plot to assassinate Queen Elizabeth I, for which he was executed.
  • E. James P. Hogan
    James P. Hogan was a British science fiction author known for his hard-science, idea-driven novels such as the Giants series.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f1940c8190a5645ee8d8e5e063 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.