Triple

T8243808
Position Surface form Disambiguated ID Type / Status
Subject The Boogeyman E192799 entity
Predicate antagonist P4675 FINISHED
Object the Boogeyman 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 | Statement: [The Boogeyman, antagonist, the Boogeyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Boogeyman
Context triple: [The Boogeyman, antagonist, the Boogeyman]
  • A. 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.
  • B. Boogeyman (2005 film)
    Boogeyman (2005 film) is a 2005 supernatural horror movie about a man confronting the childhood monster he believes killed his father.
  • 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. Ouija
    Ouija is a 2014 supernatural horror film centered on a group of friends who unwittingly unleash a malevolent spirit after using a Ouija board.
  • E. Ghoulies
    Ghoulies is a 1985 horror-comedy film about mischievous demonic creatures that became a cult favorite in the home-video era.
  • 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_69cd3521bfb48190935fe82a1f768adc completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.