Triple

T20164079
Position Surface form Disambiguated ID Type / Status
Subject Cosmo E491784 entity
Predicate creator P184 FINISHED
Object Butch Hartman NE NERFINISHED

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: Butch Hartman | Statement: [Cosmo, creator, Butch Hartman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butch Hartman
Context triple: [Cosmo, creator, Butch Hartman]
  • A. Butch Hartman chosen
    Butch Hartman is an American animator, writer, and producer best known for creating several popular Nickelodeon animated series, including The Fairly OddParents.
  • B. Craig McCracken
    Craig McCracken is an American animator, writer, and director best known for creating influential Cartoon Network series such as The Powerpuff Girls and Foster's Home for Imaginary Friends.
  • C. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • D. Jeff Cronenweth
    Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
  • E. Dean DeBlois
    Dean DeBlois is a Canadian filmmaker and animator best known as the co-writer and co-director of Disney's "Lilo & Stitch" and the creator of the "How to Train Your Dragon" film trilogy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684376408190a68890ab48fa5424 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.