Triple

T2375394
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl 50 E46185 entity
Predicate announcerNetworkUS P833 FINISHED
Object Jim Nantz E53773 NE FINISHED

How this triple was built (3 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: Jim Nantz | Statement: [Super Bowl 50, announcerNetworkUS, Jim Nantz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Nantz
Context triple: [Super Bowl 50, announcerNetworkUS, Jim Nantz]
  • A. Jim Nantz chosen
    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.
  • B. Chris Berman
    Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
  • C. 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.
  • D. 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.
  • E. Marv Albert
    Marv Albert is a renowned American sportscaster best known as the longtime voice of NBA basketball and a prominent play-by-play announcer across multiple major sports.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: announcerNetworkUS
Context triple: [Super Bowl 50, announcerNetworkUS, Jim Nantz]
  • A. announcerUSColorCommentator
    Indicates that one person serves as the primary play-by-play announcer while the other serves as the color commentator for a U.S.-based broadcast.
  • B. announcerUSPlayByPlay
    Indicates that an entity serves as the primary play-by-play announcer for a U.S.-based sports broadcast or event.
  • C. USAnnouncer
    Indicates that an entity serves as an announcer whose affiliation, origin, or role is specifically associated with the United States.
  • D. broadcastNetwork chosen
    Indicates that one entity serves as the television or radio network that broadcasts the programming or content of another entity.
  • E. announcersUSSidelineReporter
    Indicates that the subject serves as a sideline reporter for a U.S. broadcast of the event or program.
  • F. None of above.

Provenance (4 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abca4d89248190be7d712d5fa8382b completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1776d8d08190a7aae0969019d8f7 completed March 9, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69abc59d82f08190b7c36982d1ae783d completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:56 p.m.