Triple

T1319446
Position Surface form Disambiguated ID Type / Status
Subject Malcolm Glazer E28181 entity
Predicate child P120 FINISHED
Object Edward Glazer E38466 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: Edward Glazer | Statement: [Malcolm Glazer, child, Edward Glazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Glazer
Context triple: [Malcolm Glazer, child, Edward Glazer]
  • A. Edward Glazer chosen
    Edward Glazer is an American businessman and member of the Glazer family, known for their ownership stakes in major sports franchises such as Manchester United and the Tampa Bay Buccaneers.
  • B. Irving Brecher
    Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
  • C. Benjamin Rapoport
    Benjamin Rapoport is a neurosurgeon and entrepreneur best known as one of the co-founders of the brain–computer interface company Neuralink.
  • D. Charles Schoenbaum
    Charles Schoenbaum was an American cinematographer known for his work on numerous Hollywood films during the mid-20th century.
  • E. Louis Finkelstein
    Louis Finkelstein was a prominent American Conservative rabbi and scholar who served as a long-time leader and chancellor of the Jewish Theological Seminary of America.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1780be8819083a9365b8a49305d completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae719488288190b3f954c037af3d3f completed March 9, 2026, 7:07 a.m.
Created at: March 1, 2026, 7:55 p.m.