Triple

T7820979
Position Surface form Disambiguated ID Type / Status
Subject Ray Lyman Wilbur E181126 entity
Predicate familyName P18 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: [Ray Lyman Wilbur, familyName, Wilbur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilbur
Context triple: [Ray Lyman Wilbur, familyName, 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa083fe88190a77efb7cfee4bd6f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb149bae408190a931ecbc803b0850 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 4:41 p.m.