Triple

T3624319
Position Surface form Disambiguated ID Type / Status
Subject Michelle Gomez E76799 entity
Predicate notableWork P4 FINISHED
Object Bad Education E354102 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 Education | Statement: [Michelle Gomez, notableWork, Bad Education]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Education
Context triple: [Michelle Gomez, notableWork, Bad Education]
  • A. 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.
  • B. Bad Education chosen
    Bad Education is a British television sitcom starring Jack Whitehall as an inept young teacher at a dysfunctional secondary school.
  • 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. 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.
  • 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 (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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2d9845c8190ad65b2471000dfa0 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332260cc8190964a15bfee0a3b61 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.