Triple

T10415695
Position Surface form Disambiguated ID Type / Status
Subject Jerry Markbreit E245508 entity
Predicate name P16 FINISHED
Object Jerry Markbreit E245508 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: Jerry Markbreit | Statement: [Jerry Markbreit, name, Jerry Markbreit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Markbreit
Context triple: [Jerry Markbreit, name, Jerry Markbreit]
  • A. Jerry Markbreit chosen
    Jerry Markbreit is a former National Football League official renowned as one of the league’s most prominent referees, working numerous high-profile games including multiple Super Bowls.
  • B. August Eberstein
    August Eberstein was a German engineer and entrepreneur best known as one of the original creators of the Montblanc luxury fountain pen brand in the early 20th century.
  • C. William Nack
    William Nack was an American sportswriter and author best known for his definitive biography of the racehorse Secretariat.
  • D. Frank Klingebiel
    Frank Klingebiel is a German local politician who serves as the long-time mayor of the city of Salzgitter in Lower Saxony.
  • E. William Gleason
    William Gleason was a member of the prominent Gleason family associated with American industrialist and engineer Kate Gleason.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea108fec8190819423630888fa2b completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc0dd480819082edcc49a245ad4f completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:10 p.m.