Triple

T18755041
Position Surface form Disambiguated ID Type / Status
Subject Heard E458627 entity
Predicate notableWork P4 FINISHED
Object 3 Days to 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: 3 Days to Kill | Statement: [Heard, notableWork, 3 Days to Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3 Days to Kill
Context triple: [Heard, notableWork, 3 Days to Kill]
  • A. 3 Days to Kill chosen
    3 Days to Kill is a 2014 action-thriller film starring Kevin Costner as a dying CIA agent trying to reconnect with his estranged daughter while completing one last mission.
  • B. The Next Three Days
    The Next Three Days is a 2010 American thriller film about a man who devises an elaborate plan to break his wrongfully convicted wife out of prison.
  • C. I Saw the Devil
    I Saw the Devil is a 2010 South Korean psychological thriller and revenge horror film known for its brutal violence and cat-and-mouse narrative between a secret agent and a serial killer.
  • D. A Good Day to Die Hard
    A Good Day to Die Hard is the fifth installment in the Die Hard action film series, following John McClane as he travels to Russia and becomes entangled in a dangerous nuclear weapons-related conspiracy.
  • E. Pointblank
    Pointblank was the codename for a World War II Allied strategic bombing campaign aimed at crippling German aircraft production and air defenses in preparation for the invasion of Western Europe.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.