Triple

T22766935
Position Surface form Disambiguated ID Type / Status
Subject Reuben Award E563150 entity
Predicate notableRecipient P108 FINISHED
Object Bill Watterson 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: Bill Watterson | Statement: [Reuben Award, notableRecipient, Bill Watterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Watterson
Context triple: [Reuben Award, notableRecipient, Bill Watterson]
  • A. Bill Watterson chosen
    Bill Watterson is an American cartoonist best known as the creator of the influential comic strip "Calvin and Hobbes."
  • B. Richard Watterson
    Richard Watterson is a lazy, childish, and gluttonous pink rabbit who serves as the bumbling father in the animated series "The Amazing World of Gumball."
  • C. Walt Kelly
    Walt Kelly was an American cartoonist best known for creating the comic strip "Pogo," celebrated for its expressive artwork, witty dialogue, and sharp political and social satire.
  • D. William Steig
    William Steig was an American cartoonist and children’s book author best known for creating the character Shrek, which inspired the popular animated film series.
  • E. Eric Carle
    Eric Carle was an American author and illustrator best known for his distinctive collage-style artwork and beloved children's books such as "The Very Hungry Caterpillar."
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80e2688190b76844c408929d32 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.