Triple

T5869420
Position Surface form Disambiguated ID Type / Status
Subject Wilbur Wildcat E130475 entity
Predicate hasCompanion P22642 FINISHED
Object Wilma Wildcat E23462 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: Wilma Wildcat | Statement: [Wilbur Wildcat, hasCompanion, Wilma Wildcat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilma Wildcat
Context triple: [Wilbur Wildcat, hasCompanion, Wilma Wildcat]
  • A. Wilma the Wildcat chosen
    Wilma the Wildcat is one of the costumed feline mascots of the University of Arizona, known for appearing alongside Wilbur Wildcat at athletic events and school functions.
  • B. Willie the Wildcat
    Willie the Wildcat is the costumed wildcat mascot who represents Northwestern University's athletic teams and school spirit.
  • C. Willie the Wildcat
    Willie the Wildcat is the costumed wildcat mascot who represents Kansas State University's athletic teams and school spirit.
  • D. Clarita
    Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
  • E. Tessie Bear
    Tessie Bear is a kind, sensible teddy bear character from Enid Blyton’s Noddy stories, known as one of Noddy’s closest friends in Toyland.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035c3a43c8190a2b20fb139cc823f completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfe3d3d88190853f76e41c61ad71 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:56 p.m.