Triple

T12173726
Position Surface form Disambiguated ID Type / Status
Subject Bobbie Rosenfeld E290036 entity
Predicate employer P7 FINISHED
Object The Globe and Mail E546679 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 Globe and Mail | Statement: [Bobbie Rosenfeld, employer, The Globe and Mail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Globe and Mail
Context triple: [Bobbie Rosenfeld, employer, 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 (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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a85e42481908c5517a24f7688e0 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.