Triple

T6298843
Position Surface form Disambiguated ID Type / Status
Subject Douglas Wilder E141199 entity
Predicate familyName P18 FINISHED
Object Wilder E288390 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: Wilder | Statement: [Douglas Wilder, familyName, Wilder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilder
Context triple: [Douglas Wilder, familyName, Wilder]
  • A. Wilder chosen
    Wilder is a common English surname borne by various notable figures in literature, film, and other fields.
  • B. Wilder Pfaff
    Wilder Pfaff is a prominent mountain peak in the Stubai Alps on the border between Austria and Italy, popular with experienced alpine climbers.
  • C. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • D. Lud Wray
    Lud Wray was an early professional football coach and executive best known for co-founding and serving as the first head coach of the Philadelphia Eagles in the NFL.
  • E. Guillermin
    Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ddaa48190b3ea8061fc1d9dc4 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5199612948190b5ab22cf401686c2 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.