Triple

T12530389
Position Surface form Disambiguated ID Type / Status
Subject Brandon Boyce E299546 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Apt Pupil E682622 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: Apt Pupil | Statement: [Brandon Boyce, wroteScreenplayFor, Apt Pupil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apt Pupil
Context triple: [Brandon Boyce, wroteScreenplayFor, Apt Pupil]
  • A. Apt Pupil
    Apt Pupil is a dark psychological novella by Stephen King about a teenage boy’s disturbing relationship with a fugitive Nazi war criminal.
  • B. Apt Pupil chosen
    Apt Pupil is a 1998 psychological thriller film, based on a Stephen King novella, about a disturbed teenager who discovers and manipulates a Nazi war criminal living in his neighborhood.
  • C. Apt Pupil – Southern California
    Apt Pupil – Southern California is the primary setting of Stephen King’s novella “Apt Pupil,” a dark psychological horror story from his collection Different Seasons.
  • D. Up the Academy
    Up the Academy is a 1980 American teen comedy film, originally associated with Mad magazine, about misfit boys sent to a strict military academy.
  • E. In School
    In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655762ae88190ab41e23bbd65c566 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.