Triple

T8577918
Position Surface form Disambiguated ID Type / Status
Subject Rodney Dangerfield E203093 entity
Predicate notableWork P4 FINISHED
Object Back to School E343748 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: Back to School | Statement: [Rodney Dangerfield, notableWork, Back to School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Back to School
Context triple: [Rodney Dangerfield, notableWork, Back to School]
  • A. Back to School chosen
    Back to School is a 1986 comedy film starring Rodney Dangerfield as a wealthy businessman who enrolls in college alongside his son, featuring Burt Young in a supporting role.
  • B. 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.
  • C. After School
    "After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
  • D. Waitin’ in School
    "Waitin’ in School" is a rockabilly song popularized by Ricky Nelson in the late 1950s, known for its upbeat tempo and teenage-themed lyrics.
  • E. Night School
    Night School is a 2018 American comedy film starring Kevin Hart as an adult returning to school to earn his GED, leading to a series of humorous misadventures.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea989bec81909b8c8b4af7c568ff completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89a5d18c81908a21cf5e5944d6e1 completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.