Triple

T22628007
Position Surface form Disambiguated ID Type / Status
Subject A Shot in the Dark E558475 entity
Predicate stars P1956 FINISHED
Object Graham Stark 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: Graham Stark | Statement: [A Shot in the Dark, stars, Graham Stark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Stark
Context triple: [A Shot in the Dark, stars, Graham Stark]
  • A. Graham Stark chosen
    Graham Stark was a British comic actor and impressionist best known for his supporting roles in film and television, including frequent appearances in the Pink Panther series.
  • B. Graham Stevenson
    Graham Stevenson is a British trade unionist and political activist who stood as a candidate in the 2017 West Midlands mayoral election.
  • C. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • D. Graham Richards
    Graham Richards is a British chemist and academic leader known for his pioneering work in computational chemistry and his influential role in shaping modern chemistry research and commercialization at the University of Oxford.
  • E. Graham Hess
    Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3ed1d48190a093013d829901b9 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:02 p.m.