Triple

T5721501
Position Surface form Disambiguated ID Type / Status
Subject Dan Castellaneta E126155 entity
Predicate hasRole P161 FINISHED
Object Krusty the Clown E195404 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: Krusty the Clown | Statement: [Dan Castellaneta, hasRole, Krusty the Clown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krusty the Clown
Context triple: [Dan Castellaneta, hasRole, Krusty the Clown]
  • A. Krusty the Clown chosen
    Krusty the Clown is a cynical, hard-living television clown and recurring character from the animated series "The Simpsons."
  • B. Sideshow Bob
    Sideshow Bob is a recurring villainous character on the animated TV series "The Simpsons," known for his refined manner, deep voice, and obsessive attempts to exact revenge on Bart Simpson.
  • C. Glenn Quagmire
    Glenn Quagmire is a hypersexual, fast-talking airline pilot and neighbor of the Griffin family on the animated television series "Family Guy."
  • D. Fozzie Bear
    Fozzie Bear is a lovable, joke-telling bear from The Muppets known for his corny humor and signature catchphrase, "Wocka wocka!"
  • E. Garfield
    Garfield is a famous orange comic-strip cat created by Jim Davis, known for his laziness, love of lasagna, and sarcastic attitude.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e5697081908096b42b3d71c9a7 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a80aefc8190b6ea35ab405ea502 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.