Triple

T10091569
Position Surface form Disambiguated ID Type / Status
Subject Wilbur Schramm E215355 entity
Predicate givenName P17 FINISHED
Object Wilbur E229791 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: Wilbur | Statement: [Wilbur Schramm, givenName, Wilbur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilbur
Context triple: [Wilbur Schramm, givenName, Wilbur]
  • A. Wilbur chosen
    Wilbur is a masculine given name most notably borne by Wilbur Ross, an American investor and former U.S. Secretary of Commerce.
  • B. Wilbur
    Wilbur is the gentle, runt pig who serves as the central character in E.B. White’s classic children’s story "Charlotte’s Web" and its 1973 animated film adaptation.
  • C. Orville
    Orville is the comically clumsy albatross who serves as the bumbling but brave air transport for the heroes in Disney’s animated film "The Rescuers."
  • D. Orville
    Orville is a masculine given name of English origin that has been borne by various notable figures, including scientists, inventors, and pioneers.
  • E. Parson Wilbur
    Parson Wilbur is a fictional New England clergyman and scholarly narrator in James Russell Lowell’s satirical work *The Biglow Papers*.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05aa02081908fba02e7085c6d7c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6a587e0819093f38d5e69db43ec completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.