Triple

T23340513
Position Surface form Disambiguated ID Type / Status
Subject Susan Gordon E591721 entity
Predicate performedIn P795 FINISHED
Object Tormented 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: Tormented | Statement: [Susan Gordon, performedIn, Tormented]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tormented
Context triple: [Susan Gordon, performedIn, Tormented]
  • A. Tormented chosen
    Tormented is a 1960 American horror film about a man haunted by the vengeful ghost of his former lover after her death under suspicious circumstances.
  • B. Tormented
    Tormented is the 1996 debut studio album by American rock band Staind, showcasing their early heavy, raw nu-metal sound.
  • C. Tormentor
    Tormentor is a song by the American thrash metal band Slayer, featured on their debut album "Show No Mercy."
  • D. Infernal
    "Infernal" is a horror-thriller novel by F. Paul Wilson, part of his Repairman Jack series that blends supernatural elements with suspense and dark adventure.
  • E. The Suffering
    The Suffering is a horror-themed action video game known for its brutal combat, psychological elements, and morally driven narrative set within a haunted prison.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198329d9c8190992627afa9b54bed completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.