Triple

T4045749
Position Surface form Disambiguated ID Type / Status
Subject Yogi Berra Museum & Learning Center E84061 entity
Predicate dedicatedTo P500 FINISHED
Object Yogi Berra E13128 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: Yogi Berra | Statement: [Yogi Berra Museum & Learning Center, dedicatedTo, Yogi Berra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yogi Berra
Context triple: [Yogi Berra Museum & Learning Center, dedicatedTo, Yogi Berra]
  • A. Yogi Berra chosen
    Yogi Berra was a Hall of Fame catcher and beloved American baseball icon known for his ten World Series championships and famously witty "Yogi-isms."
  • B. Larry Berra
    Larry Berra is one of the sons of Hall of Fame New York Yankees catcher and famed baseball personality Yogi Berra.
  • C. Tim Berra
    Tim Berra is one of the sons of Hall of Fame baseball catcher Yogi Berra and has been involved in preserving and promoting his father's legacy.
  • D. Dale Berra
    Dale Berra is a former Major League Baseball infielder best known as the son of Hall of Famer Yogi Berra and for his playing career with teams like the Pittsburgh Pirates and New York Yankees.
  • E. Carmen Berra
    Carmen Berra was the longtime wife of Baseball Hall of Famer Yogi Berra and a prominent figure in preserving his legacy and supporting charitable causes.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb6135b481909d2be890a2140ff9 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f15f0088190b2ec453183f0ca7f completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:37 p.m.