Triple

T5728612
Position Surface form Disambiguated ID Type / Status
Subject Jake Kasdan E126326 entity
Predicate directed P7373 FINISHED
Object Bad Teacher E542233 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: Bad Teacher | Statement: [Jake Kasdan, directed, Bad Teacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Teacher
Context triple: [Jake Kasdan, directed, 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. 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.
  • C. 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.
  • D. The Teacher
    The Teacher is the enigmatic and manipulative leader of the secretive religious sect in "The Da Vinci Code," commanding intense loyalty from followers like Silas.
  • E. Bad Education
    Bad Education is a 2004 Spanish drama film directed by Pedro Almodóvar that explores themes of sexual abuse, identity, and memory within the Catholic Church and the film industry.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0250d5f4c8190a36b43ef5e6c7837 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dffe45481909eb617e40c83bd14 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:47 p.m.