Triple

T4924387
Position Surface form Disambiguated ID Type / Status
Subject John McGraw E110540 entity
Predicate managedNotablePlayer P49620 FINISHED
Object Mel Ott E260824 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: Mel Ott | Statement: [John McGraw, managedNotablePlayer, Mel Ott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Ott
Context triple: [John McGraw, managedNotablePlayer, Mel Ott]
  • A. Mel Ott chosen
    Mel Ott was a Hall of Fame right fielder and prolific power hitter of the 1930s and 1940s, renowned for his high leg kick and as one of the era’s premier sluggers.
  • B. Bill Klem
    Bill Klem was a pioneering Major League Baseball umpire, often called the "father of modern umpiring," known for his long career and influential role in shaping officiating standards.
  • C. Roger Cobb
    Roger Cobb is the harried, skeptical lawyer who becomes comically entangled with a deceased heiress’s spirit in the 1984 fantasy-comedy film "All of Me."
  • D. Lloyd Waner
    Lloyd Waner was a speedy, contact-hitting center fielder for the Pittsburgh Pirates and a Baseball Hall of Famer known for his exceptional defense and ability to get on base.
  • E. Roy Hodges
    Roy Hodges is best known as the former husband of acclaimed British actress and politician Glenda Jackson.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7163789c81909d5c7d0f6756ca58 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81bfb44481909f67d726dacec37d completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:30 p.m.