Triple

T9715546
Position Surface form Disambiguated ID Type / Status
Subject Nick Robinson E235133 entity
Predicate notableWork P4 FINISHED
Object A Teacher E305195 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: A Teacher | Statement: [Nick Robinson, notableWork, A Teacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Teacher
Context triple: [Nick Robinson, notableWork, A Teacher]
  • A. A Teacher chosen
    A Teacher is a 2013 drama film and later television miniseries that explores the illicit relationship between a high school teacher and her student.
  • B. 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.
  • C. Mother and Teacher
    Mother and Teacher is the English title of Pope John XXIII’s 1961 social encyclical Mater et Magistra, which addresses the Church’s role in promoting social justice and human dignity in modern society.
  • D. Bad Teacher
    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.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0bb82081908e21a646f4de1a61 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f941b908190a3e27f4b6c1b3535 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:20 p.m.