Triple

T16023429
Position Surface form Disambiguated ID Type / Status
Subject Gerald Wilkins E388658 entity
Predicate familyName P18 FINISHED
Object Wilkins E116521 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: Wilkins | Statement: [Gerald Wilkins, familyName, Wilkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilkins
Context triple: [Gerald Wilkins, familyName, Wilkins]
  • A. Wilkins chosen
    Wilkins is a surname most notably associated with Roy Wilkins, a prominent American civil rights leader and longtime NAACP executive director.
  • B. William Wilkins
    William Wilkins was a prominent early 19th-century British architect best known for his neoclassical designs, including major public buildings and educational institutions.
  • C. Colhoun
    Colhoun is a Scottish surname, historically associated with Clan Colquhoun and its descendants.
  • D. Wilkinson
    Wilkinson is an English surname, originally a patronymic meaning "son of Wilkin," that has been borne by various notable figures and brands.
  • E. Beadle Bamford
    Beadle Bamford is a corrupt and obsequious public official who serves as Judge Turpin’s ruthless enforcer in the musical *Sweeney Todd: The Demon Barber of Fleet Street*.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18324bf308190b80bb445c7911198 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.