Triple

T6591030
Position Surface form Disambiguated ID Type / Status
Subject Ron Cook E159355 entity
Predicate hasWorkedWith P9615 FINISHED
Object Channel 4 E68543 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: Channel 4 | Statement: [Ron Cook, hasWorkedWith, Channel 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 4
Context triple: [Ron Cook, hasWorkedWith, Channel 4]
  • A. Channel 4 chosen
    Channel 4 is a British public-service television broadcaster known for its innovative, often provocative programming and support of diverse and groundbreaking drama and comedy.
  • B. Channel 4 streaming service
    Channel 4 streaming service is the UK broadcaster’s online platform for watching live TV and on-demand programmes from Channel 4 and its associated channels.
  • C. CBC Television
    CBC Television is the Canadian Broadcasting Corporation’s national English-language television network, offering news, entertainment, and cultural programming across Canada.
  • D. Channel Four Wales
    Channel Four Wales is the English-language name for S4C, the Welsh-language public service television channel broadcasting in Wales.
  • E. 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.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aecc969c81909a6e15ebe8dd3f94 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbb568508190b9da3475d1620ed5 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:55 p.m.