Triple

T10973348
Position Surface form Disambiguated ID Type / Status
Subject Ghost House Pictures E259303 entity
Predicate notableWork P4 FINISHED
Object Boogeyman 2 E616589 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: Boogeyman 2 | Statement: [Ghost House Pictures, notableWork, Boogeyman 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boogeyman 2
Context triple: [Ghost House Pictures, notableWork, Boogeyman 2]
  • A. The Boogeyman
    "The Boogeyman" is a horror short story by Stephen King about a man recounting terrifying encounters with a child-killing monster to a psychiatrist.
  • B. Boogeyman (2005 film) chosen
    Boogeyman (2005 film) is a 2005 supernatural horror movie about a man confronting the childhood monster he believes killed his father.
  • C. Boogieman
    "Boogieman" is a funk- and soul-infused track by Childish Gambino that blends eerie, socially conscious lyrics with psychedelic production.
  • D. The Boogie Man
    "The Boogie Man" is a song featured on the album *Drinkin' Songs and Other Logic* by country artist Clint Black.
  • E. 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.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719c16648190ab5a87abb1c61990 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344a2130081908d9d22ee84890925 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.