Triple

T2771732
Position Surface form Disambiguated ID Type / Status
Subject 104th World Series E61470 entity
Predicate televisionAnnouncersUS P7562 FINISHED
Object Joe Buck E12369 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: Joe Buck | Statement: [104th World Series, televisionAnnouncersUS, Joe Buck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Buck
Context triple: [104th World Series, televisionAnnouncersUS, Joe Buck]
  • A. Joe Buck chosen
    Joe Buck is an American sportscaster best known for his long tenure as a lead play-by-play announcer for Major League Baseball and NFL broadcasts on national television.
  • B. Chris Berman
    Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
  • C. 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.
  • D. Jack Buck
    Jack Buck was a renowned American sportscaster best known for his long tenure as the voice of the St. Louis Cardinals and his iconic calls in Major League Baseball.
  • E. Al Michaels
    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.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6a23208190ba94c9a9f601a042 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0528304819081ad54a945acd77a completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.