Triple

T2881182
Position Surface form Disambiguated ID Type / Status
Subject Toronto Star E59399 entity
Predicate publisher P29 FINISHED
Object Toronto Star Newspapers Limited 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: Toronto Star Newspapers Limited | Statement: [Toronto Star, publisher, Toronto Star Newspapers Limited]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Star Newspapers Limited
Context triple: [Toronto Star, publisher, Toronto Star Newspapers Limited]
  • A. Rogers Media
    Rogers Media is a major Canadian media and communications company that owns and operates television and radio stations, sports media assets, and digital platforms.
  • B. Toronto Star chosen
    The Toronto Star is a major Canadian daily newspaper based in Toronto, known for its large circulation and progressive, investigative journalism.
  • C. The Canadian Press
    The Canadian Press is a national news agency in Canada that supplies news content to media outlets across the country.
  • D. Beaverbrook Newspapers
    Beaverbrook Newspapers was a major British newspaper publishing group built into a powerful media empire under the ownership of press baron Lord Beaverbrook.
  • E. Bell Media
    Bell Media is a major Canadian multimedia company that operates numerous television channels, radio stations, and digital platforms across the country.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe0296be081908070bd48fe4fc926 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031633efc819088c2ea29eafaff0f completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.