Triple

T20461285
Position Surface form Disambiguated ID Type / Status
Subject Davis Films E501928 entity
Predicate produced P490 FINISHED
Object The Tall Man (2012 film) 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 Tall Man (2012 film) | Statement: [Davis Films, produced, The Tall Man (2012 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tall Man (2012 film)
Context triple: [Davis Films, produced, The Tall Man (2012 film)]
  • A. The Tall Man chosen
    The Tall Man is a 2012 mystery-horror film about a small-town legend surrounding a mysterious figure blamed for the disappearance of children.
  • B. Monster Man
    Monster Man is a 2003 American horror-comedy film known for its blend of slasher elements and dark humor.
  • C. Man-Thing
    Man-Thing is a swamp-dwelling, empathic monster from Marvel Comics who serves as the mystical guardian of the Nexus of All Realities.
  • D. Darkman
    Darkman is a 1990 superhero horror film directed by Sam Raimi, known for its dark tone, inventive visual style, and Liam Neeson's portrayal of a disfigured scientist seeking revenge.
  • E. The Tall Guy
    The Tall Guy is a 1989 British romantic comedy film starring Jeff Goldblum and Emma Thompson, written by Richard Curtis and set in London’s West End theatre world.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a642648190808709020f91122b completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.