Triple

T10511650
Position Surface form Disambiguated ID Type / Status
Subject Candice Wiggins E247928 entity
Predicate familyName P18 FINISHED
Object Wiggins E247928 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: Wiggins | Statement: [Candice Wiggins, familyName, Wiggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiggins
Context triple: [Candice Wiggins, familyName, Wiggins]
  • A. Wiggins chosen
    Wiggins is a surname most prominently associated with American former WNBA basketball player Candice Wiggins.
  • B. Weeley
    Weeley is a small village and civil parish in the Tendring district of Essex, England, known for its rural character and proximity to the Essex coast.
  • C. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • D. Leon Wilkeson
    Leon Wilkeson was the longtime bassist for the Southern rock band Lynyrd Skynyrd, known for his melodic playing and distinctive stage presence.
  • E. Wylie Watson
    Wylie Watson was a Scottish character actor known for his memorable supporting roles in British films of the 1930s and 1940s, often playing mild-mannered or eccentric figures.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b5fcb8819087a23a2b26aecd70 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcf65f808190993dbacde2df20eb completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:27 p.m.