Triple

T20212648
Position Surface form Disambiguated ID Type / Status
Subject Kate Silverton E493526 entity
Predicate notableWork P4 FINISHED
Object BBC News at Six 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 News at Six | Statement: [Kate Silverton, notableWork, BBC News at Six]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC News at Six
Context triple: [Kate Silverton, notableWork, BBC News at Six]
  • A. BBC News at Six chosen
    BBC News at Six is a flagship early evening television news bulletin on BBC One, providing national and international news coverage to UK audiences.
  • B. 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.
  • C. 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.
  • D. BBC News at One
    BBC News at One is a weekday lunchtime television news bulletin on BBC One in the United Kingdom, providing national and international news coverage.
  • E. BBC Breakfast
    BBC Breakfast is a long-running British morning television news and magazine programme featuring news, interviews, weather, and lifestyle segments.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed627f48190a8ba638b85977af3 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.