Triple

T22816768
Position Surface form Disambiguated ID Type / Status
Subject Kermit Love E565118 entity
Predicate designedCharacter P57050 FINISHED
Object Mr. Snuffleupagus 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. Snuffleupagus | Statement: [Kermit Love, designedCharacter, Mr. Snuffleupagus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Snuffleupagus
Context triple: [Kermit Love, designedCharacter, Mr. Snuffleupagus]
  • A. Mr. Snuffleupagus chosen
    Mr. Snuffleupagus is a large, gentle, woolly mammoth-like character on Sesame Street known for his close friendship with Big Bird.
  • B. Mr. Snoddy
    Mr. Snoddy is a minor character in Roald Dahl's children's novel "Danny, the Champion of the World."
  • C. Peter Pig
    Peter Pig is a supporting cartoon pig character from early Disney animations, notably appearing alongside Donald Duck in classic shorts.
  • D. Greg the Bunny
    Greg the Bunny is a satirical television comedy series featuring a world where puppets and humans coexist, blending puppet characters with live-action actors in a behind-the-scenes showbiz setting.
  • E. Snagglepuss
    Snagglepuss is a pink, theatrical mountain lion cartoon character from Hanna-Barbera, known for his flamboyant personality and catchphrases like "Heavens to Murgatroyd!"
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcc41ac81908167856be021ea24 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.