Triple

T21449355
Position Surface form Disambiguated ID Type / Status
Subject Bill Moseley E529166 entity
Predicate portrayedIn P626 FINISHED
Object 3 from Hell 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 from Hell | Statement: [Bill Moseley, portrayedIn, 3 from Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3 from Hell
Context triple: [Bill Moseley, portrayedIn, 3 from Hell]
  • A. 3 from Hell chosen
    3 from Hell is a 2019 American horror film written and directed by Rob Zombie, serving as the third installment in his Firefly family trilogy.
  • B. Fresh Hell
    Fresh Hell is a comedic web series in which actor Brent Spiner plays a fictionalized version of himself navigating a bizarre Hollywood downfall.
  • C. Living Hell
    "Living Hell" is a song by the horror punk band Famous Monsters, known for its macabre themes and retro, B-movie-inspired style.
  • D. Back from Hell
    Back from Hell is a 1990 studio album by pioneering hip hop group Run-D.M.C. that marked a darker, more socially conscious turn in their music.
  • E. Strangers from Hell
    Strangers from Hell is a South Korean psychological horror thriller drama about a young man who moves into a creepy, rundown dormitory where the residents harbor disturbing secrets.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.