Triple

T19266913
Position Surface form Disambiguated ID Type / Status
Subject Francine Frensky E481807 entity
Predicate teacher P335 FINISHED
Object Mr. Ratburn 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: Mr. Ratburn | Statement: [Francine Frensky, teacher, Mr. Ratburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Ratburn
Context triple: [Francine Frensky, teacher, Mr. Ratburn]
  • A. Mr. Ratburn chosen
    Mr. Ratburn is the strict yet fair third-grade teacher from the children's animated television series "Arthur," known for his love of homework and surprising personal warmth.
  • B. Mr. Peebles
    Mr. Peebles is the pet shop owner in the classic Hanna-Barbera cartoon "Magilla Gorilla," known for repeatedly trying to sell the lovable gorilla Magilla.
  • C. Mr. Applegate
    Mr. Applegate is the devilish antagonist in the musical "Damn Yankees," who tempts a baseball fan with a Faustian bargain to help his favorite team win.
  • D. Ralph Burns
    Ralph Burns was an American jazz pianist, composer, and arranger renowned for his influential big band work and acclaimed film scores.
  • E. Mr. McFeely
    Mr. McFeely is the speedy, friendly delivery man on the children's television show "Mister Rogers' Neighborhood," known for his catchphrase "Speedy Delivery!"
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.