Triple

T17924542
Position Surface form Disambiguated ID Type / Status
Subject William Kurelek E448157 entity
Predicate name P16 FINISHED
Object William Kurelek 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: William Kurelek | Statement: [William Kurelek, name, William Kurelek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Kurelek
Context triple: [William Kurelek, name, William Kurelek]
  • A. William Kurelek chosen
    William Kurelek was a Canadian painter and writer known for his detailed, often spiritually themed depictions of prairie life and immigrant experience.
  • B. Thomas Berger
    Thomas Berger was an American novelist best known for his satirical and genre-bending works, particularly the Western novel "Little Big Man."
  • C. Rudy Wiebe
    Rudy Wiebe is a prominent Canadian novelist and short story writer known for his explorations of Mennonite life, Indigenous histories, and the Canadian West.
  • D. Al Purdy
    Al Purdy was a prominent Canadian poet celebrated for his colloquial style and vivid portrayals of Canadian landscapes and identity.
  • E. Yoram Kaniuk
    Yoram Kaniuk was an influential Israeli novelist, painter, and journalist known for his experimental, often autobiographical works that grapple with war, identity, and the complexities of Israeli society.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.