Triple

T8243818
Position Surface form Disambiguated ID Type / Status
Subject The Boogeyman E192799 entity
Predicate adaptation P1964 FINISHED
Object The Boogeyman (2023 film) E192799 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: The Boogeyman (2023 film) | Statement: [The Boogeyman, adaptation, The Boogeyman (2023 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Boogeyman (2023 film)
Context triple: [The Boogeyman, adaptation, The Boogeyman (2023 film)]
  • A. Boogeyman (2005 film)
    Boogeyman (2005 film) is a 2005 supernatural horror movie about a man confronting the childhood monster he believes killed his father.
  • B. The Boogeyman chosen
    "The Boogeyman" is a horror short story by Stephen King about a man recounting terrifying encounters with a child-killing monster to a psychiatrist.
  • C. The Boogie Man
    "The Boogie Man" is a song featured on the album *Drinkin' Songs and Other Logic* by country artist Clint Black.
  • D. A Haunted House 2
    A Haunted House 2 is a 2014 horror-comedy film co-written by and starring Marlon Wayans that parodies popular supernatural and possession movies.
  • E. A Haunted House
    A Haunted House is a 2013 parody horror-comedy film that spoofs found-footage and haunted house movies, starring Marlon Wayans.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78711f5081909c2f357334491a07 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd680b0f608190b69336228346b47d completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:47 p.m.