Triple

T11960007
Position Surface form Disambiguated ID Type / Status
Subject Freedom Mobile E284642 entity
Predicate parentCompany P254 FINISHED
Object Quebecor Inc. E886800 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: Quebecor Inc. | Statement: [Freedom Mobile, parentCompany, Quebecor Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quebecor Inc.
Context triple: [Freedom Mobile, parentCompany, Quebecor Inc.]
  • A. Quebecor (Videotron) chosen
    Quebecor (Videotron) is a major Canadian telecommunications and media company best known for providing cable TV, internet, and wireless services, primarily in Quebec.
  • B. Mountain Bell
    Mountain Bell was a regional Bell Operating Company that provided telephone service across several western U.S. states before being reorganized into US West.
  • C. 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.
  • D. Hollinger Inc.
    Hollinger Inc. was a Canadian media holding company that once controlled a large portfolio of newspapers and publications worldwide.
  • E. OpenText Corporation
    OpenText Corporation is a Canadian enterprise information management and software company known for providing content management, business process management, and analytics solutions to organizations worldwide.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.