Triple

T8215486
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Beadle E191920 entity
Predicate name P16 FINISHED
Object Jeremy Beadle E191920 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: Jeremy Beadle | Statement: [Jeremy Beadle, name, Jeremy Beadle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Beadle
Context triple: [Jeremy Beadle, name, Jeremy Beadle]
  • A. Jeremy Beadle chosen
    Jeremy Beadle was a British television presenter and producer best known for his practical joke shows such as "Beadle's About" and "You've Been Framed!"
  • B. Phil Beauman
    Phil Beauman is an American comedy writer and producer best known for his work on parody films and television, including contributions to the hit spoof franchise "Scary Movie."
  • C. Keith Rayner
    Keith Rayner is an Australian Anglican bishop who served as Archbishop of Adelaide and later as Primate of the Anglican Church of Australia.
  • D. Matthew Parris
    Matthew Parris is a British political commentator, columnist, and former Conservative MP known for his incisive and often witty analysis of UK politics.
  • E. Alan Milburn
    Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776dcfa08190969863b886336c91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedf320c08190ada5ae5c47d059eb completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:44 p.m.