Triple

T18114319
Position Surface form Disambiguated ID Type / Status
Subject Mark Halliday E433562 entity
Predicate associatedWith P37 FINISHED
Object Tony Wendice 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: Tony Wendice | Statement: [Mark Halliday, associatedWith, Tony Wendice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Wendice
Context triple: [Mark Halliday, associatedWith, Tony Wendice]
  • A. Tony Wendice chosen
    Tony Wendice is the calculating, villainous husband in Alfred Hitchcock’s thriller "Dial M for Murder," who meticulously plots his wife's murder for financial gain.
  • B. Tony Leswick
    Tony Leswick was a Canadian professional ice hockey forward best known for his clutch scoring and gritty two-way play in the NHL during the 1940s and 1950s.
  • C. Tony Jannus
    Tony Jannus was an early American aviation pioneer and one of the first commercial airline pilots, known for operating the world’s first scheduled commercial airline flight in 1914.
  • D. Tony Franklin
    Tony Franklin is an English rock bassist best known for his fretless bass work with bands like The Firm and Blue Murder.
  • E. Bryan Woodman
    Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd4c7888190b85c39decdb0333f completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.