Triple

T9285717
Position Surface form Disambiguated ID Type / Status
Subject 1974 World Series E223389 entity
Predicate radioAnnouncersUS P7562 FINISHED
Object Marty Glickman E683673 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: Marty Glickman | Statement: [1974 World Series, radioAnnouncersUS, Marty Glickman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marty Glickman
Context triple: [1974 World Series, radioAnnouncersUS, Marty Glickman]
  • A. Marty Glickman chosen
    Marty Glickman was an American sprinter and pioneering sportscaster best known for his track career and influential broadcasting work in professional basketball and football.
  • B. John Froines
    John Froines was an American chemist, anti–Vietnam War activist, and one of the defendants in the infamous Chicago Seven trial.
  • C. Jac Holzman
    Jac Holzman is an American music industry executive best known as the founder of Elektra Records and a pioneering figure in the development of the modern record label.
  • D. Glenn Berger
    Glenn Berger is an American screenwriter best known for co-writing major animated films such as the Kung Fu Panda series.
  • E. Glenn Fleshler
    Glenn Fleshler is an American character actor known for his intense and often menacing roles in film and television, including appearances in projects like "True Detective," "Billions," and "Joker."
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081fe8cc8190b6c1b481c7129689 completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c75b9d308190918f181e13df955a completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:35 p.m.