Triple

T4609227
Position Surface form Disambiguated ID Type / Status
Subject Harry Crosby E100513 entity
Predicate spouse P13 FINISHED
Object Dixie Lee E140979 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: Dixie Lee | Statement: [Harry Crosby, spouse, Dixie Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dixie Lee
Context triple: [Harry Crosby, spouse, 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. Nellie W. Carter
    Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599f08d88190ad4bed8bafb592cd completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1029dc8c81908ec7d0ddd23428b4 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:12 p.m.