Triple

T6239354
Position Surface form Disambiguated ID Type / Status
Subject You're a Good Man, Charlie Brown E139559 entity
Predicate featuresCharacter P626 FINISHED
Object Sally Brown E322343 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: Sally Brown | Statement: [You're a Good Man, Charlie Brown, featuresCharacter, Sally Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sally Brown
Context triple: [You're a Good Man, Charlie Brown, featuresCharacter, Sally Brown]
  • A. Sally Brown chosen
    Sally Brown is a recurring character in the Peanuts comic strip, known as Charlie Brown’s younger sister with a sweet but stubborn personality and humorous misunderstandings.
  • B. Sally
    "Sally" is a comedic stage play by British-American playwright Guy Bolton, known for its lighthearted plot and contribution to early 20th-century musical theatre.
  • C. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • D. Sally
    Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
  • E. Sally
    Sally is one of the young children who serve as primary protagonists in Dr. Seuss's classic children's book "The Cat in the Hat."
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063048df081909a13d16b6f6bf65d completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e01845081909c54fe938600be3e completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.