Triple

T14956019
Position Surface form Disambiguated ID Type / Status
Subject Jimmy Miller E372927 entity
Predicate notableWork P4 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: [Jimmy Miller, notableWork, Bad Teacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Teacher
Context triple: [Jimmy Miller, 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. 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.
  • C. 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.
  • D. 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.
  • E. The Kindergarten Teacher
    The Kindergarten Teacher is a psychological drama film about a New York teacher who becomes obsessively convinced of her young student’s poetic genius, blurring ethical and emotional boundaries.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9e74fc8190bdd10a25c39829f3 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:40 a.m.