Triple

T17480425
Position Surface form Disambiguated ID Type / Status
Subject Jane Garvey E425641 entity
Predicate partOf P40 FINISHED
Object BBC Radio 4 presenting team 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 Radio 4 presenting team | Statement: [Jane Garvey, partOf, BBC Radio 4 presenting team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 4 presenting team
Context triple: [Jane Garvey, partOf, BBC Radio 4 presenting team]
  • A. BBC Radio 4 chosen
    BBC Radio 4 is a major British national radio station known for its spoken-word programming, including news, drama, comedy, and documentaries.
  • B. Channel 4 News Team
    The Channel 4 News Team is the fictional San Diego television news crew featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. BBC Radio 4 Extra
    BBC Radio 4 Extra is a British digital radio station from the BBC that specializes in archived comedy, drama, and entertainment programming.
  • D. Ràdio 4
    Ràdio 4 is a Catalan-language public radio station based in Catalonia and operated by Spain’s national broadcaster RTVE.
  • E. Radio 4 series The Department
    The Radio 4 series "The Department" is a British satirical comedy show that follows the absurd inner workings of a fictional government think tank.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bf1e8081909f4d4b8992412e62 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.