Triple

T20173571
Position Surface form Disambiguated ID Type / Status
Subject Willie Brown E492031 entity
Predicate fullName P16 FINISHED
Object Willie Ferdie Brown — 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: Willie Ferdie Brown | Statement: [Willie Brown, fullName, Willie Ferdie Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Willie Ferdie Brown
Context triple: [Willie Brown, fullName, Willie Ferdie Brown]
  • A. Willie Brown
    Willie Brown was an American Negro league and Major League Baseball outfielder known for his powerful hitting and later induction into the Baseball Hall of Fame.
  • B. Willie Brown chosen
    Willie Brown was a Hall of Fame NFL cornerback best known for his long tenure and three Super Bowl titles with the Oakland Raiders.
  • C. Michael H. de Young
    Michael H. de Young was an American newspaper publisher and civic leader best known as a co-founder of the San Francisco Chronicle and a prominent figure in San Francisco’s cultural and public life.
  • D. Tom Bradley
    Tom Bradley is the fictional protagonist of the 1936 film "Desire," around whom the movie’s central romantic and dramatic events revolve.
  • E. Tom Bradley
    Tom Bradley was a long-serving and influential mayor of Los Angeles who played a key role in the city’s late-20th-century growth and international prominence.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684a33688190b22cfc16907e76bc completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:36 p.m.