Triple

T12883840
Position Surface form Disambiguated ID Type / Status
Subject Oogie Boogie E308170 entity
Predicate species P87 FINISHED
Object Boogeyman E1009606 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 | Statement: [Oogie Boogie, species, Boogeyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boogeyman
Context triple: [Oogie Boogie, species, Boogeyman]
  • A. The Boogeyman chosen
    The Boogeyman is a fictional monster and primary antagonist from Tim Burton’s "The Nightmare Before Christmas," known for his sack-like body filled with bugs and his love of gambling and torment.
  • B. 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.
  • C. Boogieman
    "Boogieman" is a funk- and soul-infused track by Childish Gambino that blends eerie, socially conscious lyrics with psychedelic production.
  • D. Boogeyman 3
    Boogeyman 3 is a 2008 supernatural horror film and the third installment in the Boogeyman franchise, following a college student haunted by a malevolent entity that feeds on fear.
  • E. Boogeyman (2005 film)
    Boogeyman (2005 film) is a 2005 supernatural horror movie about a man confronting the childhood monster he believes killed his father.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af55623081909fd171129f439302 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:39 p.m.