Triple

T9968622
Position Surface form Disambiguated ID Type / Status
Subject Atomic Monster Productions E195745 entity
Predicate notableWork P4 FINISHED
Object The Nun E725564 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 Nun | Statement: [Atomic Monster Productions, notableWork, The Nun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Nun
Context triple: [Atomic Monster Productions, notableWork, The Nun]
  • A. The Nun
    The Nun is a 1966 French drama film directed by Jacques Rivette, adapted from Denis Diderot’s novel about a young woman forced into convent life and struggling against religious oppression.
  • B. The Nun chosen
    The Nun is a 2018 supernatural horror film in The Conjuring Universe that follows a priest and a novice investigating a demonic presence at a remote Romanian monastery.
  • C. The Nun II
    The Nun II is a 2023 supernatural horror film in The Conjuring Universe franchise, serving as a sequel to The Nun and following the demonic entity Valak as it terrorizes new victims in 1950s Europe.
  • D. Requiem for a Nun
    Requiem for a Nun is a novel by William Faulkner that blends prose and dramatic dialogue to revisit characters from his earlier work Sanctuary, exploring themes of guilt, redemption, and the inescapability of the past in the fictional Yoknapatawpha County.
  • E. Deliver Us from Evil
    Deliver Us from Evil is a 2014 supernatural horror film in which Eric Bana plays a New York police officer who investigates a series of disturbing and seemingly demonic crimes.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269fc0d20819082bfe0331972e2b6 completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:47 p.m.