Triple

T7742475
Position Surface form Disambiguated ID Type / Status
Subject Toon Disney E175541 entity
Predicate featuredProgram P32079 FINISHED
Object Recess E584093 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: Recess | Statement: [Toon Disney, featuredProgram, Recess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Recess
Context triple: [Toon Disney, featuredProgram, Recess]
  • A. Recess chosen
    Recess is an American animated television series that follows a group of elementary school friends navigating the complex social world of the playground.
  • B. Rugrats
    Rugrats is an animated television series that follows a group of adventurous toddlers as they explore the world from their imaginative, childlike perspective.
  • C. Rascal
    Rascal is the furry, family-friendly mascot of the West Michigan Whitecaps minor league baseball team, entertaining fans at games and community events.
  • D. Mallrats
    Mallrats is a 1995 cult comedy film written and directed by Kevin Smith that follows two slacker friends killing time at a New Jersey shopping mall after being dumped by their girlfriends.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c708b13c688190839c920ec196cada completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.