Triple

T19010137
Position Surface form Disambiguated ID Type / Status
Subject June Callwood E465198 entity
Predicate employer P7 FINISHED
Object Maclean’s 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: Maclean’s | Statement: [June Callwood, employer, Maclean’s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maclean’s
Context triple: [June Callwood, employer, Maclean’s]
  • A. Maclean's chosen
    Maclean's is a long-running Canadian news magazine known for its national affairs coverage, commentary, and cultural reporting.
  • B. The Globe and Mail
    The Globe and Mail is a leading Canadian national newspaper known for its comprehensive coverage of domestic and international news, business, and politics.
  • C. La Presse Canadienne
    La Presse Canadienne is the French-language news service of The Canadian Press, providing wire news content to francophone media outlets in Canada.
  • D. Toronto Star
    The Toronto Star is a major Canadian daily newspaper based in Toronto, known for its large circulation and progressive, investigative journalism.
  • E. The Hamilton Spectator
    The Hamilton Spectator is a daily newspaper based in Hamilton, Ontario, known for covering local news, politics, and community issues in the surrounding region.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a8225c81908e80ae7eb1c1301b completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.