Triple

T8133110
Position Surface form Disambiguated ID Type / Status
Subject Cedella Booker E189900 entity
Predicate name P16 FINISHED
Object Cedella Booker E189900 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: Cedella Booker | Statement: [Cedella Booker, name, Cedella Booker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedella Booker
Context triple: [Cedella Booker, name, Cedella Booker]
  • A. Cedella Booker chosen
    Cedella Booker was a Jamaican singer and writer best known as the mother of reggae legend Bob Marley and for preserving and promoting his legacy.
  • B. Vonetta Flowers
    Vonetta Flowers is an American bobsledder who became the first Black athlete from any country to win a gold medal at the Winter Olympics.
  • C. Beryl Booker
    Beryl Booker was an American jazz pianist and composer known for her swinging style and collaborations with prominent bebop and swing musicians in the mid-20th century.
  • D. Solána Imani Rowe
    Solána Imani Rowe is an American singer and songwriter best known by her stage name SZA, acclaimed for her genre-blending R&B music and introspective lyrics.
  • E. Camille Winbush
    Camille Winbush is an American actress and singer best known for her role as Vanessa Thomkins on the television series "The Bernie Mac Show."
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43ba98c881909c4b4c9cd25ad063 completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9482113881909439c9e43fbc933f completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:35 p.m.