Triple

T3266711
Position Surface form Disambiguated ID Type / Status
Subject Channel 4 E68543 entity
Predicate employs P7 FINISHED
Object Channel 4 News 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 News | Statement: [Channel 4, employs, Channel 4 News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 4 News
Context triple: [Channel 4, employs, Channel 4 News]
  • 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. BBC News Channel
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • C. Sky News
    Sky News is a British 24-hour television news channel and digital news service known for live breaking news coverage in the UK and internationally.
  • 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 News at Ten
    BBC News at Ten is the BBC’s flagship late-evening television news bulletin, providing national and international news coverage on weekdays.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafce46dc8190a157e4f5012baed5 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ef261ec819091c62620765e2cef completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.