Triple

T22023292
Position Surface form Disambiguated ID Type / Status
Subject Blood and Water E543893 entity
Predicate distributor P1951 FINISHED
Object Rogers Media 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: Rogers Media | Statement: [Blood and Water, distributor, Rogers Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rogers Media
Context triple: [Blood and Water, distributor, Rogers Media]
  • A. Rogers Media chosen
    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. Postmedia Network
    Postmedia Network is a large Canadian media company that owns and operates numerous newspapers, digital publications, and related media assets across the country.
  • C. Seven West Media
    Seven West Media is a major Australian media conglomerate that operates television, newspaper, magazine, and digital media assets across the country.
  • D. Torstar Corporation
    Torstar Corporation is a Canadian media company best known as the publisher of the Toronto Star and other newspapers and digital media properties.
  • E. Thomson Newspapers
    Thomson Newspapers was a major North American newspaper publishing company that operated numerous daily and community papers before being absorbed into the larger Thomson media conglomerate.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.