Triple

T3137451
Position Surface form Disambiguated ID Type / Status
Subject Willie Mays E65567 entity
Predicate familyName P18 FINISHED
Object Mays E250163 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: Mays | Statement: [Willie Mays, familyName, Mays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mays
Context triple: [Willie Mays, familyName, Mays]
  • A. Mays chosen
    Mays is a surname most notably associated with American baseball pitcher Carl Mays, remembered for his controversial career in Major League Baseball.
  • B. Maris
    Maris is a surname most famously associated with American baseball player Roger Maris, who broke Babe Ruth’s single-season home run record in 1961.
  • C. Lowry Mays
    Lowry Mays is an American businessman and philanthropist best known as the founder of Clear Channel Communications (now iHeartMedia) and a major benefactor of Texas A&M University.
  • D. Dick Avery
    Dick Avery is the fashion photographer portrayed by Fred Astaire in the 1957 musical film "Funny Face."
  • E. Alomar
    Alomar is a surname most famously associated with Hall of Fame Major League Baseball second baseman Roberto Alomar and his baseball-playing family.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8a1a2081909081c36075d4ddbe completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.