Triple

T18834759
Position Surface form Disambiguated ID Type / Status
Subject David Michael Latt E460631 entity
Predicate knownFor P22 FINISHED
Object The Asylum 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: The Asylum | Statement: [David Michael Latt, knownFor, The Asylum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Asylum
Context triple: [David Michael Latt, knownFor, The Asylum]
  • A. The Asylum chosen
    The Asylum is an American independent film and television production company best known for its low-budget genre movies and mockbusters that capitalize on major studio releases.
  • B. The Miscreants of Taliwood
    The Miscreants of Taliwood is a documentary film by Australian artist and filmmaker George Gittoes that explores the lives, dangers, and underground film culture of Pakistan’s Taliban-influenced tribal regions.
  • C. Angry Candy
    Angry Candy is a collection of dark, emotionally intense short stories by Harlan Ellison that often explore themes of death, grief, and human vulnerability.
  • D. Waxwork
    Waxwork is a 1988 horror-comedy film about a group of young people who are drawn into deadly scenarios based on the exhibits of a mysterious wax museum.
  • E. Haasil
    Haasil is a 2003 Indian Hindi-language crime drama film, best known for its intense portrayal of student politics and for featuring a critically acclaimed performance by Irrfan Khan.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99c1394819095c62eef040e552c completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.