Triple

T2254191
Position Surface form Disambiguated ID Type / Status
Subject Joseph Greenberg E49682 entity
Predicate familyName P18 FINISHED
Object Greenberg E126889 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: Greenberg | Statement: [Joseph Greenberg, familyName, Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenberg
Context triple: [Joseph Greenberg, familyName, Greenberg]
  • A. Greenberg chosen
    Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
  • B. Goodwin
    Goodwin is a masculine given name most notably borne by Goodwin Knight, who served as the 31st governor of California in the mid-20th century.
  • C. Marc Ginsburg Bermann
    Marc Ginsburg Bermann is known primarily as the son of prominent American legal scholar Jane C. Ginsburg.
  • D. Jack Greenberg
    Jack Greenberg was a prominent American civil rights lawyer and longtime NAACP Legal Defense Fund director who helped litigate landmark desegregation cases, including those consolidated into Brown v. Board of Education.
  • E. Winston & Strawn
    Winston & Strawn is a major international law firm headquartered in Chicago, known for its litigation, corporate, and regulatory practices.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc12029548190af9f2cdd7a4de2d6 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1dd6fc8190bd762fb3a17258b0 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.