Triple

T21980961
Position Surface form Disambiguated ID Type / Status
Subject Hit the Deck E542837 entity
Predicate title P38 FINISHED
Object Hit the Deck 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: Hit the Deck | Statement: [Hit the Deck, title, Hit the Deck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hit the Deck
Context triple: [Hit the Deck, title, Hit the Deck]
  • A. Hit the Deck chosen
    "Hit the Deck" is a 1955 MGM musical film adaptation of the stage musical of the same name, featuring sailor-themed romance, comedy, and song-and-dance numbers.
  • B. The Decks Ran Red
    The Decks Ran Red is a 1958 American seafaring thriller film about a mutiny plot aboard a cargo ship, starring James Mason and Dorothy Dandridge.
  • C. The Hit
    "The Hit" is a thriller novel by David Baldacci in the Will Robie series, following government assassin Will Robie as he is assigned to eliminate a fellow assassin who has gone rogue.
  • D. The Hit
    "The Hit" is an Israeli film directed by Assi Dayan, known for its darkly comic and satirical take on Israeli society.
  • E. The Hit
    The Hit is a 1984 British crime drama film directed by Stephen Frears, featuring Tim Roth in one of his early breakout roles alongside John Hurt and Terence Stamp.
  • 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.