Triple

T15301788
Position Surface form Disambiguated ID Type / Status
Subject David D. Friedman E365805 entity
Predicate parent P120 FINISHED
Object Rose Friedman E74344 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: Rose Friedman | Statement: [David D. Friedman, parent, Rose Friedman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Friedman
Context triple: [David D. Friedman, parent, Rose Friedman]
  • A. Rose Friedman chosen
    Rose Friedman was an American economist and co-author known for her influential collaborations with her husband Milton Friedman on free-market economic ideas.
  • B. Benjamin M. Friedman
    Benjamin M. Friedman is an American economist known for his influential work on monetary policy, economic growth, and the moral dimensions of capitalism.
  • C. Anna Schwartz
    Anna Schwartz was an American economist and monetary historian best known for her influential collaboration with Milton Friedman on "A Monetary History of the United States."
  • D. Bernard A. Friedman
    Bernard A. Friedman is a United States federal judge known for his rulings on significant civil rights and constitutional law cases.
  • E. Jefferson Friedman
    Jefferson Friedman is an American composer known for his contemporary classical works and for scoring film and television projects, including the animated series "Harley Quinn."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4542d4308190bebf13dff1ebfe08 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:15 a.m.