Triple

T8191037
Position Surface form Disambiguated ID Type / Status
Subject Linda Glazer E191304 entity
Predicate hasRelative P367 FINISHED
Object Darcie Glazer Kassewitz E112993 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: Darcie Glazer Kassewitz | Statement: [Linda Glazer, hasRelative, Darcie Glazer Kassewitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darcie Glazer Kassewitz
Context triple: [Linda Glazer, hasRelative, Darcie Glazer Kassewitz]
  • A. Darcie Glazer Kassewitz chosen
    Darcie Glazer Kassewitz is an American businesswoman and philanthropist best known as a member of the Glazer family ownership group of the Tampa Bay Buccaneers and Manchester United.
  • B. Christi Dembrowski
    Christi Dembrowski is an American film producer and longtime collaborator of Johnny Depp, with whom she co-founded the production company Infinitum Nihil.
  • C. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • D. Darlanne Fluegel
    Darlanne Fluegel was an American actress and model known for her roles in 1980s films and television, including prominent appearances in crime and action genres.
  • E. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • 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_69cecc1842608190bc0fd78e28aa324d completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 5:41 p.m.