Triple

T17245312
Position Surface form Disambiguated ID Type / Status
Subject Agatha E418609 entity
Predicate appearsIn P795 FINISHED
Object Night Monster 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: Night Monster | Statement: [Agatha, appearsIn, Night Monster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Night Monster
Context triple: [Agatha, appearsIn, Night Monster]
  • A. Night Monster chosen
    Night Monster is a 1942 American horror film directed by Ford Beebe, featuring a mysterious series of murders at a secluded mansion and starring Bela Lugosi and Lionel Atwill.
  • B. Shadow Monster
    Shadow Monster is an alternate name for a Mind Flayer, a sinister, tentacled aberration from Dungeons & Dragons known for its psionic powers and brain-devouring tendencies.
  • C. The Monster
    The Monster is the iconic reanimated creature in the 1931 film "Frankenstein," known for its tragic, misunderstood nature and enduring influence on horror cinema.
  • D. The Monster
    The Monster is a short story featured in Stephen Crane's collection "The Monster and Other Stories," exploring themes of ostracism, morality, and social hypocrisy.
  • E. The Monster
    The Monster is a 1994 Italian comedy film directed by and starring Roberto Benigni, known for its farcical misunderstandings and satirical take on social paranoia.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e22fb2c8190aea5d3872095bf46 completed April 19, 2026, 1:21 a.m.
Created at: April 10, 2026, 5:39 a.m.