Triple

T22620655
Position Surface form Disambiguated ID Type / Status
Subject Grant MacEwan E558267 entity
Predicate givenName P17 FINISHED
Object John Walter — 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 Walter | Statement: [Grant MacEwan, givenName, John Walter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Walter
Context triple: [Grant MacEwan, givenName, John Walter]
  • A. John Walter
    John Walter is a Canadian engineer and standards expert who served as president of the International Organization for Standardization (ISO).
  • B. John Walter chosen
    John Walter was a prominent early Edmonton entrepreneur and community leader whose legacy includes having the Walterdale Bridge named in his honor.
  • C. John Walter
    John Walter is a film editor best known for his work on Michael Moore’s documentary "Capitalism: A Love Story."
  • D. John Walter II
    John Walter II was a British newspaper publisher best known for expanding and modernizing The Times of London in the early 19th century.
  • E. Walter Bidlake
    Walter Bidlake is a fictional character in Aldous Huxley’s satirical novel "Point Counter Point," representing aspects of English intellectual and social life in the 1920s.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.