Triple

T2800611
Position Surface form Disambiguated ID Type / Status
Subject wedding of Prince Harry and Meghan Markle E53143 entity
Predicate broadcast P833 FINISHED
Object Sky News E58717 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: Sky News | Statement: [wedding of Prince Harry and Meghan Markle, broadcast, Sky News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky News
Context triple: [wedding of Prince Harry and Meghan Markle, broadcast, Sky News]
  • A. Sky News chosen
    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.
  • B. BBC News Channel
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • 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. Channel 4
    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.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf4ca9c8190a4adfd1c1373af41 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc66ad9cc81908af6d3816a840c75 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.