Triple

T17488931
Position Surface form Disambiguated ID Type / Status
Subject Daniel Tiger E425848 entity
Predicate network P2637 FINISHED
Object CBC Television 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: CBC Television | Statement: [Daniel Tiger, network, CBC Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBC Television
Context triple: [Daniel Tiger, network, CBC Television]
  • A. CBC Television chosen
    CBC Television is the Canadian Broadcasting Corporation’s national English-language television network, offering news, entertainment, and cultural programming across Canada.
  • B. Anglia Television
    Anglia Television is a British regional television broadcaster best known for serving the East of England as part of the ITV network.
  • C. BBC television services
    BBC television services are the collection of television channels and platforms operated by the British Broadcasting Corporation, including national, regional, and specialized services across the UK.
  • D. BBC
    The BBC (British Broadcasting Corporation) is the United Kingdom’s publicly funded national broadcaster, known worldwide for producing and distributing television, radio, and online content.
  • E. BBC
    BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d461308190844c143dcfb61fac completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.