Triple

T3951521
Position Surface form Disambiguated ID Type / Status
Subject 1984 World Series E84874 entity
Predicate televisionAnnouncer P7529 FINISHED
Object Al Michaels E33813 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: Al Michaels | Statement: [1984 World Series, televisionAnnouncer, Al Michaels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Michaels
Context triple: [1984 World Series, televisionAnnouncer, Al Michaels]
  • A. Al Michaels chosen
    Al Michaels is a renowned American sportscaster best known for his decades of play-by-play commentary on NFL games and other major sporting events.
  • B. Chris Berman
    Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
  • C. Lorne David Michaels
    Lorne David Michaels is a Canadian-American television producer, writer, and comedian best known as the creator and longtime executive producer of the sketch comedy show Saturday Night Live.
  • D. Greg Gumbel
    Greg Gumbel is an American sportscaster best known for his long tenure with CBS Sports, where he has called NFL, NCAA basketball, and other major sporting events.
  • E. Jim Nantz
    Jim Nantz is a prominent American sportscaster best known for his long-running play-by-play coverage of major events such as the NFL, NCAA basketball, and The Masters on CBS.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9384cdc8190ad89b32dc25ac1d7 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55619cb548190ac2553f23de9bfed completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:30 p.m.