Triple

T10484663
Position Surface form Disambiguated ID Type / Status
Subject Rob Cowan E247264 entity
Predicate notableWork P4 FINISHED
Object Righteous Kill E639688 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: Righteous Kill | Statement: [Rob Cowan, notableWork, Righteous Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Righteous Kill
Context triple: [Rob Cowan, 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. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • D. When the Killing's Done
    "When the Killing's Done" is a novel by T.C. Boyle that explores environmentalism, animal rights, and human conflict through a battle over wildlife management in California’s Channel Islands.
  • E. The Killing Floor
    The Killing Floor is a 1984 American television drama film about African American stockyard workers in 1910s Chicago and their struggle to unionize amid racial tensions.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50968a0bc8190a18ba24eb37431d9 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03c647c81909521fee4a66ec8ac completed April 10, 2026, 7:01 a.m.
Created at: April 6, 2026, 12:22 p.m.