Triple

T23066714
Position Surface form Disambiguated ID Type / Status
Subject John Wooden E575060 entity
Predicate spouse P13 FINISHED
Object Nellie Riley Wooden NE NERFINISHED

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: Nellie Riley Wooden | Statement: [John Wooden, spouse, Nellie Riley Wooden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nellie Riley Wooden
Context triple: [John Wooden, spouse, Nellie Riley Wooden]
  • A. Nellie Riley chosen
    Nellie Riley was the longtime wife of legendary UCLA basketball coach John Wooden and an important personal influence throughout his life and career.
  • B. Nellie Ellison McClellan
    Nellie Ellison McClellan was the wife of longtime U.S. Senator John L. McClellan of Arkansas.
  • C. Nellie Owens
    Nellie Owens was a real-life childhood acquaintance of Laura Ingalls Wilder who inspired the character Nellie Oleson in the "Little House" book series.
  • D. Hattie DeEtte Weaver Wood
    Hattie DeEtte Weaver Wood was an American woman known primarily as the subject of the painting "Woman with Plants," which portrays her in a domestic setting surrounded by houseplants.
  • E. Bille Woodruff
    Bille Woodruff is an American film and music video director known for his work with major R&B and pop artists as well as directing feature films like "Honey."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a4e2fc81909704333306737f80 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.