Triple

T16323882
Position Surface form Disambiguated ID Type / Status
Subject Matt Groening E396364 entity
Predicate influencedBy P9 FINISHED
Object Charles M. Schulz E322337 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: Charles M. Schulz | Statement: [Matt Groening, influencedBy, Charles M. Schulz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles M. Schulz
Context triple: [Matt Groening, influencedBy, Charles M. Schulz]
  • A. Charles M. Schulz chosen
    Charles M. Schulz was an American cartoonist best known for creating the iconic comic strip "Peanuts," featuring characters like Charlie Brown and Snoopy.
  • B. Carl Barks
    Carl Barks was an American cartoonist and writer best known for his influential Disney comic stories featuring Donald Duck and for creating the character Scrooge McDuck.
  • C. Chester Gould
    Chester Gould was an American cartoonist best known for creating the long-running detective comic strip "Dick Tracy."
  • D. Bill Watterson
    Bill Watterson is an American cartoonist best known as the creator of the influential comic strip "Calvin and Hobbes."
  • E. Ernie Bushmiller
    Ernie Bushmiller was an American cartoonist best known as the creator of the long-running comic strip "Nancy," celebrated for its minimalist, gag-driven style.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ab4208190900f21cb4f08f926 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.