Triple

T13500577
Position Surface form Disambiguated ID Type / Status
Subject Kim Newman E320876 entity
Predicate wrote P2831 FINISHED
Object Nightmare Movies E1045149 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: Nightmare Movies | Statement: [Kim Newman, wrote, Nightmare Movies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nightmare Movies
Context triple: [Kim Newman, wrote, Nightmare Movies]
  • A. Nightmare Movies chosen
    Nightmare Movies is a comprehensive critical study of horror cinema by film critic and author Kim Newman.
  • B. Movie Macabre
    Movie Macabre is a late-night horror movie television series best known for introducing the campy, goth-humor horror hostess character Elvira, Mistress of the Dark.
  • C. Nightmare
    "Nightmare" is a song by the American rock band Goblin, known for their atmospheric, horror-themed progressive rock style.
  • D. Nightmare
    Nightmare is a powerful Marvel Comics supervillain and ruler of the Dream Dimension who frequently battles Doctor Strange by invading and manipulating the dreams of mortals.
  • E. Nightmare
    Nightmare is a powerful, recurring villain in the Kirby video game series, typically portrayed as a dark, dream-manipulating entity that threatens Dream Land.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8e69a08190b74f1fecb07dd6e9 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:43 p.m.