Triple

T19865486
Position Surface form Disambiguated ID Type / Status
Subject Naga Munchetty E477378 entity
Predicate notableWork P4 FINISHED
Object BBC Breakfast 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: BBC Breakfast | Statement: [Naga Munchetty, notableWork, BBC Breakfast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Breakfast
Context triple: [Naga Munchetty, notableWork, BBC Breakfast]
  • A. BBC Breakfast chosen
    BBC Breakfast is a long-running British morning television news and magazine programme featuring news, interviews, weather, and lifestyle segments.
  • B. BBC London breakfast show
    The BBC London breakfast show is a morning radio programme on BBC Radio London that gained particular recognition during the period it was hosted by broadcaster and writer Danny Baker.
  • C. 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.
  • D. BBC News at Six
    BBC News at Six is a flagship early evening television news bulletin on BBC One, providing national and international news coverage to UK audiences.
  • E. BBC News at Five
    BBC News at Five was a weekday evening television news programme on the BBC News Channel in the UK, offering in-depth coverage and analysis of national and international stories.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589eb24081908715b683de1edc68 completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.