Triple

T11567857
Position Surface form Disambiguated ID Type / Status
Subject Peter Sissons E274301 entity
Predicate notableWork P4 FINISHED
Object Question Time E499692 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: Question Time | Statement: [Peter Sissons, notableWork, Question Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Question Time
Context triple: [Peter Sissons, notableWork, Question Time]
  • A. Question Time chosen
    Question Time is a long-running BBC television political debate program where a panel of public figures answers questions from a studio audience.
  • B. The Question
    The Question is a faceless, trench coat–wearing vigilante superhero from Charlton Comics later integrated into DC Comics, known for his hardboiled investigative style and philosophical themes.
  • C. What is the Question?
    "What is the Question?" is a production company associated with the television adaptation of Lemony Snicket’s *A Series of Unfortunate Events*.
  • D. Question...?
    "Question...?" is a pop song by Taylor Swift from her 2022 album *Midnights*, noted for its introspective lyrics and interpolation of her earlier hit "Out of the Woods."
  • E. Q & A
    Q & A is a novel by Vikas Swarup that follows a poor Indian waiter who unexpectedly wins a fortune on a quiz show, inspiring the film Slumdog Millionaire.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:37 p.m.