Triple

T23108196
Position Surface form Disambiguated ID Type / Status
Subject Funeral of Diana, Princess of Wales E576234 entity
Predicate broadcastOn P833 FINISHED
Object Sky News 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: Sky News | Statement: [Funeral of Diana, Princess of Wales, broadcastOn, Sky News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky News
Context triple: [Funeral of Diana, Princess of Wales, broadcastOn, 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 World News
    BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0c7b9c8190b1160485eae87c9b completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.