Triple

T13008769
Position Surface form Disambiguated ID Type / Status
Subject Calvin and Hobbes E322353 entity
Predicate author P4 FINISHED
Object Bill Watterson E497022 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: Bill Watterson | Statement: [Calvin and Hobbes, author, Bill Watterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Watterson
Context triple: [Calvin and Hobbes, author, 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. 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.
  • D. 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."
  • E. Dr. Seuss
    Dr. Seuss was an American children’s author and illustrator renowned for his whimsical rhyming stories and imaginative characters in books such as "The Cat in the Hat" and "Green Eggs and Ham."
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9cf0108190b02f498c6ccc91f8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc77f308190b3b47f7a092db434 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:48 p.m.