Triple

T17015271
Position Surface form Disambiguated ID Type / Status
Subject Foul Play E412804 entity
Predicate starring P1507 FINISHED
Object Dudley Moore E763037 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: Dudley Moore | Statement: [Foul Play, starring, Dudley Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dudley Moore
Context triple: [Foul Play, starring, Dudley Moore]
  • A. Dudley Moore chosen
    Dudley Moore was a British actor, comedian, and musician best known for his comic film roles in the 1970s and 1980s, including his Oscar-nominated performance in "Arthur."
  • B. Kenneth Williams
    Kenneth Williams was a celebrated British comic actor and raconteur, best known for his roles in the "Carry On" films and his distinctive, witty presence on radio and television panel shows.
  • C. Rik Mayall
    Rik Mayall was a British comedian, actor, and writer renowned for his anarchic, high-energy performances in shows like "The Young Ones," "Bottom," and "Blackadder."
  • D. Barry Cryer
    Barry Cryer was a British comedian, writer, and broadcaster renowned for his long-running contributions to radio and television comedy.
  • E. Terry-Thomas
    Terry-Thomas was a distinctive English comic actor known for his gap-toothed grin and portrayals of upper-class cads and bounders in mid-20th-century film and 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47f198c8190b0473f638101f606 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4ba2a88190a49d355836ff1dcf completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.