Triple

T13802531
Position Surface form Disambiguated ID Type / Status
Subject Strauss Zelnick E331674 entity
Predicate name P16 FINISHED
Object Strauss Zelnick E331674 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: Strauss Zelnick | Statement: [Strauss Zelnick, name, Strauss Zelnick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strauss Zelnick
Context triple: [Strauss Zelnick, name, Strauss Zelnick]
  • A. Strauss Zelnick chosen
    Strauss Zelnick is an American media executive best known as the longtime CEO and chairman of video game publisher Take-Two Interactive, overseeing franchises like Grand Theft Auto and NBA 2K.
  • B. Benjamin Glazer
    Benjamin Glazer was an Academy Award–winning American screenwriter, producer, and director active during the early decades of Hollywood cinema.
  • C. Michael Greenberg
    Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
  • D. Michael Greenberg
    Michael Greenberg is an American businessman best known as the co-founder and longtime executive leader of the global footwear company Skechers.
  • E. Larry Eisenberg
    Larry Eisenberg was an American biomedical engineer, science fiction writer, and humorist best known for his witty limericks and contributions to speculative fiction.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.