Triple

T19464835
Position Surface form Disambiguated ID Type / Status
Subject Straus family E486966 entity
Predicate notableMember P10 FINISHED
Object Nathan Straus NE NERFINISHED

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: Nathan Straus | Statement: [Straus family, notableMember, Nathan Straus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Straus
Context triple: [Straus family, notableMember, Nathan Straus]
  • A. Nathan Straus chosen
    Nathan Straus was a German-born American merchant and philanthropist best known as a co-owner of Macy’s and for pioneering public milk pasteurization programs to combat disease.
  • B. Sidney Taylor
    Sidney Taylor is a banking executive who served in a supervisory leadership role at Meritor Savings Bank, FSB.
  • C. Percy Straus
    Percy Straus was an American businessman and investment banker best known as a co-founder of the Wall Street firm Salomon Brothers.
  • D. Henry Lehman
    Henry Lehman was a 19th-century German-American businessman who co-founded the financial firm that evolved into the global investment bank Lehman Brothers.
  • E. Arthur Sheekman
    Arthur Sheekman was an American screenwriter and humorist best known for his work on Marx Brothers films and other Hollywood comedies during the 1930s and 1940s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633d0fe3c8190b637f78bfad704d0 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.