Triple

T13779913
Position Surface form Disambiguated ID Type / Status
Subject Total Divas E331105 entity
Predicate features P997 FINISHED
Object Jimmy Uso E600026 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: Jimmy Uso | Statement: [Total Divas, features, Jimmy Uso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Uso
Context triple: [Total Divas, features, Jimmy Uso]
  • A. Jimmy Uso chosen
    Jimmy Uso is an American professional wrestler best known as one half of the Usos tag team in WWE, where he has won multiple tag team championships.
  • B. Johnny U
    Johnny U is the legendary Hall of Fame NFL quarterback Johnny Unitas, renowned for revolutionizing the modern passing game with the Baltimore Colts.
  • C. Frankie Uale
    Frankie Uale, better known as Frankie Yale, was a notorious early 20th-century New York mobster and bootlegger associated with the Italian-American Mafia.
  • D. Tafi Abuife
    Tafi Abuife is a village where the Tafi language is traditionally spoken, likely located in the Volta Region of Ghana.
  • E. Tyler Ulis
    Tyler Ulis is an American former basketball point guard best known for his standout collegiate career at the University of Kentucky and subsequent play in the NBA.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07670b08190a205d3c7ccb9dded completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.