Triple

T9739474
Position Surface form Disambiguated ID Type / Status
Subject Graham Norton E236148 entity
Predicate employer P7 FINISHED
Object Virgin Radio UK E523188 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: Virgin Radio UK | Statement: [Graham Norton, employer, Virgin Radio UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Radio UK
Context triple: [Graham Norton, employer, Virgin Radio UK]
  • A. Virgin Radio (UK) chosen
    Virgin Radio (UK) is a British national commercial radio station known for playing rock and pop music and featuring high-profile presenters and entertainment shows.
  • B. Capital Radio
    Capital Radio is a major London-based commercial radio station that became widely known in the 1970s and 1980s for its popular music programming and influential presenters.
  • C. Absolute Radio
    Absolute Radio is a UK-based national commercial radio station known for its rock and guitar-led music, personality-driven shows, and digital-only decade-themed spin-off stations.
  • D. BBC Radio 1
    BBC Radio 1 is a major UK national radio station focused on contemporary popular music and youth-oriented programming.
  • E. BBC Radio 2
    BBC Radio 2 is a major UK national radio station known for its broad mix of popular music, entertainment, and speech programming aimed primarily at adult listeners.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef43fec8190987628f401a27436 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe0dab48190832ab77265c09d70 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:22 p.m.