Triple

T8375258
Position Surface form Disambiguated ID Type / Status
Subject Rob Brydon E197560 entity
Predicate televisionSeries P3279 FINISHED
Object Would I Lie to You? E715129 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: Would I Lie to You? | Statement: [Rob Brydon, televisionSeries, Would I Lie to You?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Would I Lie to You?
Context triple: [Rob Brydon, televisionSeries, Would I Lie to You?]
  • A. Would I Lie to You? chosen
    Would I Lie to You? is a British comedy panel show where celebrity guests and team captains humorously try to distinguish truth from elaborate lies.
  • B. "Would I Lie to You?"
    "Would I Lie to You?" is a song by the Eurythmics that serves as the energetic opening theme for the television series Drop Dead Diva.
  • C. Which Lie Did I Tell?
    "Which Lie Did I Tell?" is William Goldman’s follow-up memoir on screenwriting, offering candid, humorous insights into Hollywood and the craft of writing for film.
  • D. Telling Lies
    Telling Lies is an interactive narrative video game that uses full-motion video and a non-linear search-based interface to unravel a complex story through secretly recorded conversations.
  • E. No Lie
    "No Lie" is a popular hip-hop single by 2 Chainz featuring Drake, known for its catchy hook and heavy bass production.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a996ec819083ce2607c0cdab7f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02b4d840819090a0eaadaff9c9f9 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:01 p.m.