Triple

T17390741
Position Surface form Disambiguated ID Type / Status
Subject Russell Gewirtz E422814 entity
Predicate notableWork P4 FINISHED
Object Righteous Kill 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: Righteous Kill | Statement: [Russell Gewirtz, notableWork, Righteous Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Righteous Kill
Context triple: [Russell Gewirtz, notableWork, Righteous Kill]
  • A. Righteous Kill chosen
    Righteous Kill is a 2008 crime thriller film best known for pairing Robert De Niro and Al Pacino as veteran New York City detectives hunting a possible serial killer.
  • B. Shoot to Kill
    Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
  • C. Essential Killing
    Essential Killing is a 2010 minimalist survival thriller film directed by Jerzy Skolimowski, following a fugitive prisoner on the run through a harsh winter landscape.
  • D. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • E. Killing Season
    Killing Season is a 2013 action-thriller film starring Robert De Niro and John Travolta, centered on a deadly cat-and-mouse game between two war veterans in the Appalachian Mountains.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ab950d4819098d6a46f67c46191 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.