Triple

T22225182
Position Surface form Disambiguated ID Type / Status
Subject Jake Kasdan E549318 entity
Predicate notableWork P4 FINISHED
Object Bad Teacher 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: Bad Teacher | Statement: [Jake Kasdan, notableWork, Bad Teacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Teacher
Context triple: [Jake Kasdan, notableWork, Bad Teacher]
  • A. Bad Teacher chosen
    Bad Teacher is a 2011 American comedy film starring Cameron Diaz as a foul-mouthed, apathetic middle school teacher scheming her way toward a more lucrative life.
  • B. Good Teacher
    "Good Teacher" is a song featured on the Lynyrd Skynyrd album *Last of a Dyin' Breed*, showcasing the band's signature Southern rock style.
  • C. Hot for Teacher
    "Hot for Teacher" is a high-energy hard rock song by Van Halen, famous for its virtuosic guitar work, double-bass drumming, and controversial music video.
  • D. American Educator
    American Educator is a quarterly professional journal published by the American Federation of Teachers that features research-based articles and commentary on education practice and policy.
  • E. A Teacher
    A Teacher is a 2013 drama film and later television miniseries that explores the illicit relationship between a high school teacher and her student.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b93e2208190aee70ffd82962ea0 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.