Triple

T17387696
Position Surface form Disambiguated ID Type / Status
Subject Jeff Jenkins E422730 entity
Predicate notableWork P4 FINISHED
Object Total Bellas 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: Total Bellas | Statement: [Jeff Jenkins, notableWork, Total Bellas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Total Bellas
Context triple: [Jeff Jenkins, notableWork, Total Bellas]
  • A. Total Bellas chosen
    Total Bellas is a reality television series that follows the personal and professional lives of WWE twin sisters Nikki and Brie Bella and their families.
  • B. Muchachitas
    Muchachitas is a popular Mexican telenovela from the early 1990s that follows the intertwined lives and ambitions of four young women.
  • C. Nuestra Belleza Latina
    Nuestra Belleza Latina is a popular Spanish-language reality TV beauty pageant and talent competition broadcast by Univision across the U.S. and Latin America.
  • D. Belles
    Belles is a surname of likely French origin borne by individuals such as Helen Artie Belles.
  • E. Belles
    The Belles is the nickname for the athletic teams and student body of Bennett College, a historically Black liberal arts college for women in Greensboro, North Carolina.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8b66288190b29bb82eff761902 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.