Triple

T2771026
Position Surface form Disambiguated ID Type / Status
Subject Expend4bles E61454 entity
Predicate director P255 FINISHED
Object Scott Waugh E241419 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: Scott Waugh | Statement: [Expend4bles, director, Scott Waugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Waugh
Context triple: [Expend4bles, director, Scott Waugh]
  • A. Scott Waugh chosen
    Scott Waugh is an American film director and former stunt performer best known for helming high-octane action movies such as Act of Valor and Need for Speed.
  • B. Martin McGrath
    Martin McGrath is a cinematographer best known for his work on the 1991 Australian film "Proof."
  • C. Stephen Smith
    Stephen Smith was a pioneering American public health reformer and physician who played a key role in advancing modern public health systems in the United States.
  • D. Stephen Smith
    Stephen Smith is a member of the Smith family, known as the son of Benjamin A. Smith II.
  • E. Scott Hipwell
    Scott Hipwell is a key character in Paula Hawkins' psychological thriller "The Girl on the Train," portrayed as the enigmatic husband of Megan Hipwell whose behavior and secrets fuel the novel’s central mystery.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6a23208190ba94c9a9f601a042 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05061808190abe709eff7a8c986 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.