Triple

T5148763
Position Surface form Disambiguated ID Type / Status
Subject The Babadook E116138 entity
Predicate mainAntagonist P4675 FINISHED
Object The Babadook E116138 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 Babadook | Statement: [The Babadook, mainAntagonist, The Babadook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Babadook
Context triple: [The Babadook, mainAntagonist, The Babadook]
  • 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. Mother!
    Mother! is a 2017 psychological horror film directed by Darren Aronofsky, known for its allegorical narrative, intense performances, and divisive critical reception.
  • 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. It Follows
    It Follows is a 2014 supernatural horror film about a young woman pursued by a relentless, shape-shifting entity after a sexual encounter, acclaimed for its atmospheric tension and allegorical themes.
  • E. The Night House
    The Night House is a 2020 psychological horror film in which Rebecca Hall plays a grieving widow uncovering disturbing secrets about her late husband and their lakeside home.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78b17028819080568715df8c13eb completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfff6e8c8190883fc981fca95f48 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:43 p.m.