Triple

T10393282
Position Surface form Disambiguated ID Type / Status
Subject Steps E244941 entity
Predicate notableAlbum P4 FINISHED
Object Buzz unclear NED1 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: Buzz | Statement: [Steps, notableAlbum, Buzz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buzz
Context triple: [Steps, notableAlbum, Buzz]
  • A. Buzz
    Buzz is the nickname of Edwin "Buzz" Aldrin, the American astronaut who became the second person to walk on the Moon during the Apollo 11 mission.
  • B. Buzz
    Buzz is the yellow jacket costumed mascot of the Georgia Institute of Technology, known for energizing crowds at the university’s athletic and campus events.
  • C. Buzz
    Buzz is one of the official mascots of the Canadian Football League’s Winnipeg Blue Bombers, entertaining fans and representing the team at games and community events.
  • D. Buzz
    Buzz is the nickname of Buzz Schneider, an American ice hockey player best known as a member of the 1980 U.S. "Miracle on Ice" Olympic team.
  • E. Buzz
    Buzz is the costumed bee mascot representing the Concordia Stingers athletic teams of Concordia University in Montreal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b6c750819087678bf81a3ef806 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795c0253c8190b6141ccb90fd1b7e completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.