Triple

T8030594
Position Surface form Disambiguated ID Type / Status
Subject Derren Brown E186968 entity
Predicate name P16 FINISHED
Object Derren Brown E186968 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: Derren Brown | Statement: [Derren Brown, name, Derren Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derren Brown
Context triple: [Derren Brown, name, Derren Brown]
  • A. Derren Brown chosen
    Derren Brown is a British illusionist, mentalist, and author known for his psychological magic shows and television specials that explore suggestion, misdirection, and the limits of perception.
  • B. Uri Geller
    Uri Geller is an Israeli-British illusionist and self-proclaimed psychic best known for his controversial spoon-bending feats and high-profile demonstrations of alleged paranormal abilities.
  • C. Matt Whiteley
    Matt Whiteley is a screenwriter best known for writing the biographical drama film "Jobs" about Apple co-founder Steve Jobs.
  • D. Penn Jillette
    Penn Jillette is an American magician, comedian, author, and outspoken skeptic best known as half of the magic duo Penn & Teller.
  • E. Alan Carr
    Alan Carr is a British comedian and television presenter known for his stand-up comedy, chat shows like "Alan Carr: Chatty Man," and numerous hosting roles on UK television.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3eef921081908d0ea21f142c175a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e812dc81908916fc7163ae344a completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:22 p.m.