Triple

T21980971
Position Surface form Disambiguated ID Type / Status
Subject Hit the Deck E542837 entity
Predicate director P255 FINISHED
Object Roy Rowland 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: Roy Rowland | Statement: [Hit the Deck, director, Roy Rowland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Rowland
Context triple: [Hit the Deck, director, Roy Rowland]
  • A. Roy Rowland chosen
    Roy Rowland was an American film director known for his work on mid-20th-century Hollywood movies, particularly musicals and comedies.
  • B. Hugh Rowland
    Hugh Rowland is a Canadian ice road truck driver best known as one of the central, long-running personalities on the reality television series "Ice Road Truckers."
  • C. Ray Enright
    Ray Enright was an American film director known for his prolific work on Hollywood comedies, musicals, and action films from the 1920s through the 1950s.
  • D. Roy Bland
    Roy Bland is a fictional British intelligence officer and double agent in John le Carré’s George Smiley novels, notably featured as one of the suspected moles in "Tinker Tailor Soldier Spy."
  • E. Roy McFarland
    Roy McFarland is a former English central defender best known for his key role in Derby County’s successful teams of the late 1960s and 1970s and for earning numerous caps for the England national team.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248cf0388190b557d065beb662b5 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:04 p.m.