Triple

T18738194
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Cunningham E458219 entity
Predicate notableWork P4 FINISHED
Object Why Women Kill E391838 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: Why Women Kill | Statement: [Alexandra Cunningham, notableWork, Why Women Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Why Women Kill
Context triple: [Alexandra Cunningham, notableWork, Why Women Kill]
  • A. Why Women Kill chosen
    Why Women Kill is a darkly comedic anthology drama series that explores the lives of women in different decades as they confront infidelity and its sometimes deadly consequences.
  • B. When Women Kill
    When Women Kill is a 1983 documentary film directed by Lee Grant that examines the lives and circumstances of women incarcerated for committing homicide.
  • C. Mujeres Asesinas
    Mujeres Asesinas is a Latin American crime drama anthology series that portrays different women driven to commit murder, often inspired by real-life cases.
  • D. Killer Women
    Killer Women is an American crime drama television series that follows a tough female Texas Ranger as she investigates cases involving women accused of murder.
  • E. A Love to Kill
    A Love to Kill is a South Korean television drama series starring Rain as a troubled fighter who seeks revenge but becomes entangled in a tragic love story.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053263e33c8190be79ec131d15c3fa completed May 14, 2026, 2:24 a.m.
Created at: April 10, 2026, 11:51 a.m.