Triple

T12213440
Position Surface form Disambiguated ID Type / Status
Subject Muhammad Ali E291022 entity
Predicate spouse P13 FINISHED
Object Yolanda Williams E291022 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: Yolanda Williams | Statement: [Muhammad Ali, spouse, Yolanda Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yolanda Williams
Context triple: [Muhammad Ali, spouse, Yolanda Williams]
  • A. Yolanda Williams chosen
    Yolanda Williams is best known as the wife of legendary American boxer Muhammad Ali.
  • B. Yvette Williams
    Yvette Williams was a pioneering New Zealand long jumper and Olympic gold medallist who became one of the country’s most celebrated track and field athletes of the 1950s.
  • C. Yolanda Laney
    Yolanda Laney is a former standout American college basketball player best known for starring at Cheyney State and later becoming the mother of WNBA All-Star Betnijah Laney.
  • D. Lorraine Williams
    Lorraine Williams is known as the wife of Academy Award–winning film editor and producer Elmo Williams.
  • E. Yolanda Whitaker
    Yolanda Whitaker, better known by her stage name Yo-Yo, is an American rapper and actress recognized for her socially conscious lyrics and prominent role in early 1990s West Coast hip hop.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555903b08190a8c70bf7eda47dff completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:51 p.m.