Triple

T17874286
Position Surface form Disambiguated ID Type / Status
Subject The Woman in Black 2: Angel of Death E446910 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Susan Hill 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: Susan Hill | Statement: [The Woman in Black 2: Angel of Death, basedOnWorkBy, Susan Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Hill
Context triple: [The Woman in Black 2: Angel of Death, basedOnWorkBy, Susan Hill]
  • A. Susan Hill chosen
    Susan Hill is a British author best known for her ghost stories and novels, including the modern classic "The Woman in Black."
  • B. Ruth Rendell
    Ruth Rendell was a renowned British crime writer best known for her Inspector Wexford novels and psychologically complex thrillers.
  • C. Val McDermid
    Val McDermid is a Scottish crime writer renowned for her psychological thrillers and influential contributions to contemporary crime fiction.
  • D. Vera West
    Vera West was an American costume designer best known for her work on numerous Universal Pictures films in the 1930s and 1940s, particularly in the horror and melodrama genres.
  • E. Lynda La Plante
    Lynda La Plante is a British novelist, screenwriter, and former actress best known for her gritty crime dramas and influential work in television police procedurals.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa4959881908774dafb7be99191 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.