Triple

T10478437
Position Surface form Disambiguated ID Type / Status
Subject Have I Got News for You E247106 entity
Predicate creator P184 FINISHED
Object Jimmy Mulville E652211 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: Jimmy Mulville | Statement: [Have I Got News for You, creator, Jimmy Mulville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Mulville
Context triple: [Have I Got News for You, creator, Jimmy Mulville]
  • A. Jimmy Mulville chosen
    Jimmy Mulville is a British comedian, writer, producer, and co-founder of the television production company Hat Trick Productions, known for his work on numerous popular comedy series.
  • B. Robert Muldrow
    Robert Muldrow was an American topographer and explorer associated with early surveying and exploration work in the Alaska Range.
  • C. James Mulva
    James Mulva is an American business executive best known for serving as chairman and CEO of ConocoPhillips.
  • D. Bob McFadden
    Bob McFadden was an American voice actor and impressionist known for his work in animated television specials and cartoons from the 1960s through the 1980s.
  • E. John McShain
    John McShain was an American building contractor known for constructing major U.S. landmarks, including the Pentagon and significant parts of Washington, D.C.'s federal architecture.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095a25708190bf34e3ca1491e003 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e5749208190b37848f0945bd92d completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:21 p.m.