Triple

T1678287
Position Surface form Disambiguated ID Type / Status
Subject Emma Freud E36281 entity
Predicate employer P7 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: [Emma Freud, employer, Channel 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 4
Context triple: [Emma Freud, employer, 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. CBC Television
    CBC Television is the Canadian Broadcasting Corporation’s national English-language television network, offering news, entertainment, and cultural programming across Canada.
  • C. 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.
  • D. ITV4
    ITV4 is a British free-to-air television channel from the ITV network, known for broadcasting sports, classic dramas, and entertainment aimed primarily at a male audience.
  • E. BBC News Channel
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625f7e1081909c3c4fe76625783a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71ba4db08190a532fb334fd0cd23 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.