Triple

T23229961
Position Surface form Disambiguated ID Type / Status
Subject Wilma Winifred Wyatt E581121 entity
Predicate stageName P7872 FINISHED
Object Dixie Lee 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: Dixie Lee | Statement: [Wilma Winifred Wyatt, stageName, Dixie Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dixie Lee
Context triple: [Wilma Winifred Wyatt, stageName, Dixie Lee]
  • A. Dixie Lee chosen
    Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
  • B. Joyce Barbour
    Joyce Barbour was a British stage and film actress active in the early to mid-20th century, known for her character roles in both theatre and cinema.
  • C. Nancy Louise Macon
    Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
  • D. Lula Carson Smith
    Lula Carson Smith, better known as Carson McCullers, was an American novelist, short story writer, and playwright renowned for her explorations of loneliness and the human condition in the American South.
  • E. Irma P. Hall
    Irma P. Hall is an American actress best known for her warm, commanding portrayals of matriarchal figures in films such as "Soul Food" and "The Ladykillers."
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1923131c081909c6e84b1a0c32e0d completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.