Triple

T12787261
Position Surface form Disambiguated ID Type / Status
Subject Columbus Blue Jackets E305663 entity
Predicate mascot P52 FINISHED
Object Boomer E305662 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: Boomer | Statement: [Columbus Blue Jackets, mascot, Boomer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boomer
Context triple: [Columbus Blue Jackets, mascot, Boomer]
  • A. Boomer chosen
    Boomer is a former secondary mascot of the NHL’s Columbus Blue Jackets, known for his cannon-inspired design and brief, controversial tenure.
  • B. Boomer
    Boomer was the nickname of George Scott, a powerful Major League Baseball first baseman known for his strong defense and home run hitting, primarily with the Boston Red Sox and Milwaukee Brewers.
  • C. Boomer
    Boomer is the costumed mascot of the Trenton Thunder minor league baseball team, known for entertaining fans with on-field antics and crowd interaction.
  • D. Boomer
    Boomer is the popular nickname of Norman "Boomer" Esiason, a former NFL quarterback and current sports broadcaster.
  • E. Boomer
    Boomer is the well-known nickname of longtime ESPN sportscaster Chris Berman, famous for his energetic NFL coverage and colorful catchphrases.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5dbdb88190a1b06721ada51627 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850703948190984acf9e434cd2a7 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.