Triple

T18338327
Position Surface form Disambiguated ID Type / Status
Subject The Globe (Toronto newspaper) E439331 entity
Predicate successor P78 FINISHED
Object The Globe and Mail 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: The Globe and Mail | Statement: [The Globe (Toronto newspaper), successor, The Globe and Mail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Globe and Mail
Context triple: [The Globe (Toronto newspaper), successor, The Globe and Mail]
  • A. The Globe and Mail chosen
    The Globe and Mail is a leading Canadian national newspaper known for its comprehensive coverage of domestic and international news, business, and politics.
  • B. Toronto Star
    The Toronto Star is a major Canadian daily newspaper based in Toronto, known for its large circulation and progressive, investigative journalism.
  • 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. Maclean's
    Maclean's is a long-running Canadian news magazine known for its national affairs coverage, commentary, and cultural reporting.
  • E. The Toronto Telegram
    The Toronto Telegram was a major conservative-leaning daily newspaper in Toronto, Canada, that operated from the late 19th century until its closure in 1971.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecf3b4c81909372630ab634dd43 completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.