Triple

T18737197
Position Surface form Disambiguated ID Type / Status
Subject Joseph Atkinson E458195 entity
Predicate employer P7 FINISHED
Object Toronto Star 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: Toronto Star | Statement: [Joseph Atkinson, employer, Toronto Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Star
Context triple: [Joseph Atkinson, employer, 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. 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.