Triple

T14508687
Position Surface form Disambiguated ID Type / Status
Subject Graydon Carter E340334 entity
Predicate employer P7 FINISHED
Object The Toronto Star E59399 NE FINISHED

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 Toronto Star | Statement: [Graydon Carter, employer, The Toronto Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Toronto Star
Context triple: [Graydon Carter, employer, The Toronto Star]
  • A. Toronto Star chosen
    The Toronto Star is a major Canadian daily newspaper based in Toronto, known for its large circulation and progressive, investigative journalism.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Maclean's
    Maclean's is a long-running Canadian news magazine known for its national affairs coverage, commentary, and cultural reporting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e40e44819084f323f8f9982b75 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da26a308190bf86ed1edbe8d57e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.