Triple

T21357793
Position Surface form Disambiguated ID Type / Status
Subject Sara Paretsky E526681 entity
Predicate notableWork P4 FINISHED
Object Killing Orders NE NERFINISHED

How this triple was built (3 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: Killing Orders | Statement: [Sara Paretsky, notableWork, Killing Orders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killing Orders
Context triple: [Sara Paretsky, notableWork, Killing Orders]
  • A. 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.
  • B. The Kill Order
    The Kill Order is a prequel novel in James Dashner's Maze Runner series that explores the origins of the Flare virus and the post-apocalyptic world preceding the main storyline.
  • C. License to Kill
    "License to Kill" is a 1989 James Bond film best known for its darker tone and for featuring the title song performed by soul singer Gladys Knight.
  • D. Company of Killers
    Company of Killers is a crime thriller novel by Dean Jones, centered on professional assassins and the dangerous underworld they inhabit.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Killing Orders
Target entity description: "Killing Orders" is a crime novel by Sara Paretsky featuring her iconic private investigator V.I. Warshawski as she uncovers corruption and family secrets tied to a Catholic church scandal.
  • A. 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.
  • B. The Kill Order
    The Kill Order is a prequel novel in James Dashner's Maze Runner series that explores the origins of the Flare virus and the post-apocalyptic world preceding the main storyline.
  • C. License to Kill
    "License to Kill" is a 1989 James Bond film best known for its darker tone and for featuring the title song performed by soul singer Gladys Knight.
  • D. Company of Killers
    Company of Killers is a crime thriller novel by Dean Jones, centered on professional assassins and the dangerous underworld they inhabit.
  • 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. chosen

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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa2d11c81908608851940e4e6d3 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.