Triple

T14858136
Position Surface form Disambiguated ID Type / Status
Subject Kansas City Royals Hall of Fame E349413 entity
Predicate hasInductee P1750 FINISHED
Object George Brett E81442 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: George Brett | Statement: [Kansas City Royals Hall of Fame, hasInductee, George Brett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Brett
Context triple: [Kansas City Royals Hall of Fame, hasInductee, George Brett]
  • A. George Brett chosen
    George Brett is a Hall of Fame third baseman widely regarded as one of the greatest hitters in Major League Baseball history.
  • B. Cecil Fielder
    Cecil Fielder is a former American Major League Baseball slugger best known for his power-hitting seasons with the Detroit Tigers in the early 1990s.
  • C. Carlton Fisk
    Carlton Fisk is a Hall of Fame Major League Baseball catcher best known for his dramatic, game-winning home run in Game 6 of the 1975 World Series.
  • D. Billy Williams
    Billy Williams is a Hall of Fame left fielder best known for his long, productive career with the Chicago Cubs during the 1960s and 1970s.
  • E. Billy Williams
    Billy Williams is an acclaimed British cinematographer best known for his Oscar-winning work on films such as "Gandhi" and his influential contributions to visual storytelling in cinema.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.