Triple

T20183179
Position Surface form Disambiguated ID Type / Status
Subject Omen III: The Final Conflict E492783 entity
Predicate castMember P1668 FINISHED
Object Ruby Wax NE NERFINISHED

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: Ruby Wax | Statement: [Omen III: The Final Conflict, castMember, Ruby Wax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby Wax
Context triple: [Omen III: The Final Conflict, castMember, Ruby Wax]
  • A. Ruby Wax chosen
    Ruby Wax is an American-British comedian, actress, and mental health campaigner known for her sharp, satirical interviewing style on British television.
  • B. Helen Zaltzman
    Helen Zaltzman is a British podcaster and broadcaster best known for creating and hosting the linguistics show "The Allusionist" and co-founding the comedy podcast "Answer Me This!".
  • C. Jenni Murray
    Jenni Murray is a British journalist and broadcaster best known for her long tenure as the presenter of BBC Radio 4’s Woman’s Hour.
  • D. Sarah Wainthrope
    Sarah Wainthrope is an individual known primarily through her association as a friend of John Tate.
  • 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 (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.