Triple

T8191035
Position Surface form Disambiguated ID Type / Status
Subject Linda Glazer E191304 entity
Predicate hasRelative P367 FINISHED
Object Bryan Glazer E35548 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: Bryan Glazer | Statement: [Linda Glazer, hasRelative, Bryan Glazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan Glazer
Context triple: [Linda Glazer, hasRelative, Bryan Glazer]
  • A. Bryan Glazer chosen
    Bryan Glazer is an American businessman and co-owner of the Tampa Bay Buccaneers NFL franchise and Manchester United Football Club, known for his role in the Glazer family's sports empire.
  • B. Joel Glazer
    Joel Glazer is an American businessman and member of the Glazer family who co-owns and helps oversee the operations of Manchester United Football Club.
  • C. Avram Glazer
    Avram Glazer is an American businessman and member of the Glazer family, known for his ownership stake and leadership role in Manchester United Football Club.
  • D. Benjamin Glazer
    Benjamin Glazer was an Academy Award–winning American screenwriter, producer, and director active during the early decades of Hollywood cinema.
  • E. Eugene Applebaum
    Eugene Applebaum was a prominent Detroit businessman and philanthropist known for founding the Arbor Drugs pharmacy chain and supporting higher education and healthcare initiatives.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da2f4108190b9b69cb7f41ef374 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67c5853c8190843e7520f3be73b2 completed April 1, 2026, 6:45 p.m.
Created at: March 30, 2026, 5:41 p.m.