Triple

T11416064
Position Surface form Disambiguated ID Type / Status
Subject Daws Butler E270494 entity
Predicate notableWork P4 FINISHED
Object Quick Draw McGraw E269734 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: Quick Draw McGraw | Statement: [Daws Butler, notableWork, Quick Draw McGraw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quick Draw McGraw
Context triple: [Daws Butler, notableWork, Quick Draw McGraw]
  • A. Quick Draw McGraw chosen
    Quick Draw McGraw is a classic Hanna-Barbera cartoon character, a dimwitted but well-meaning anthropomorphic horse who works as a sheriff in comedic Western adventures.
  • B. Drawn Together
    Drawn Together is an adult animated parody reality TV series that satirizes cartoon and pop culture archetypes through crude humor and controversial storylines.
  • C. Shenanigans
    Shenanigans is a 2002 compilation album by American punk rock band Green Day, featuring B-sides, rarities, and previously unreleased tracks.
  • D. Game for a Laugh
    Game for a Laugh was a popular British television practical-joke and hidden-camera show that aired in the 1980s, known for its light-hearted stunts and audience participation.
  • E. Bizaardvark
    Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b86936348190b8fa4125995c2a85 completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.