Triple

T13151766
Position Surface form Disambiguated ID Type / Status
Subject Edmund Clarence Stedman E312483 entity
Predicate familyName P18 FINISHED
Object Stedman E423370 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: Stedman | Statement: [Edmund Clarence Stedman, familyName, Stedman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stedman
Context triple: [Edmund Clarence Stedman, familyName, Stedman]
  • A. Stedman chosen
    Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
  • B. Hillegas
    Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
  • C. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • D. Gilman
    Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
  • E. Stoddart
    Stoddart is a Scottish surname most notably associated with Sir Fraser Stoddart, the Nobel Prize–winning chemist recognized for his work on molecular machines.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaeca00c8190aa5645d1084c7d60 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.