Triple

T20255762
Position Surface form Disambiguated ID Type / Status
Subject Amelia Vanek E498696 entity
Predicate fears P7327 FINISHED
Object The Babadook entity 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 Babadook entity | Statement: [Amelia Vanek, fears, The Babadook entity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Babadook entity
Context triple: [Amelia Vanek, fears, The Babadook entity]
  • A. The Babadook chosen
    The Babadook is a 2014 Australian psychological horror film about a grieving mother and her troubled son who are terrorized by a sinister entity emerging from a mysterious children's pop-up book.
  • B. Boogeyman
    Boogeyman is a 2005 supernatural horror film about a man confronting the childhood monster he believes killed his father.
  • C. 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.
  • D. The Boogeyman
    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.
  • E. Bhuta Kola
    Bhuta Kola is a traditional spirit worship and ritual performance from coastal Karnataka, India, involving elaborate costumes, trance, and dance to honor local deities and ancestral spirits.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673ab60388190be32cc69bf2b6f76 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.