Triple

T10839871
Position Surface form Disambiguated ID Type / Status
Subject 1976 World Series E255855 entity
Predicate radioAnnouncer P14289 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: [1976 World Series, radioAnnouncer, Marty Glickman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marty Glickman
Context triple: [1976 World Series, radioAnnouncer, 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7470204548190ba0c724dd9367712 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb139072081908a67e76a83575c32 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.