Triple

T21900947
Position Surface form Disambiguated ID Type / Status
Subject 1965 All-Star Game E540805 entity
Predicate umpireSecondBase P72341 FINISHED
Object Bill Jackowski NE NERFINISHED

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: Bill Jackowski | Statement: [1965 All-Star Game, umpireSecondBase, Bill Jackowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Jackowski
Context triple: [1965 All-Star Game, umpireSecondBase, Bill Jackowski]
  • A. Bill Jackowski chosen
    Bill Jackowski was a Major League Baseball umpire best known for his long National League career and for working several World Series and All-Star Games in the 1950s and 1960s.
  • B. Joe Kolsky
    Joe Kolsky was a music industry figure best known as the founder of the American record label Roulette Records.
  • C. Joe Lorkowski
    Joe Lorkowski is a character in the film "Sunshine Cleaning," portrayed as the young son of the protagonist, Rose Lorkowski.
  • D. James Jacks
    James Jacks was an American film producer best known for his work on popular action and adventure movies such as "The Mummy" series.
  • E. Jack Kamen
    Jack Kamen was an American illustrator best known for his clean, polished art style on science fiction, crime, and horror stories during the 1950s comic book era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fcb18748190a21071c122b7e6d5 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.