Triple

T13850359
Position Surface form Disambiguated ID Type / Status
Subject John Bassett E332919 entity
Predicate owned P347 FINISHED
Object Toronto Telegram E722645 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: Toronto Telegram | Statement: [John Bassett, owned, Toronto Telegram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Telegram
Context triple: [John Bassett, owned, Toronto Telegram]
  • A. The Toronto Telegram chosen
    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.
  • 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. Toronto Centre
    Toronto Centre is a densely populated federal electoral district in downtown Toronto, Ontario, known for its diverse communities and significant political prominence.
  • D. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • E. Winnipeg Free Press
    The Winnipeg Free Press is a major Canadian daily newspaper based in Winnipeg, Manitoba, known for its comprehensive local and national news coverage.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f35ba48190b8b071679251233f completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.