Triple

T14495389
Position Surface form Disambiguated ID Type / Status
Subject Julius Wilford Arnstein E359482 entity
Predicate alsoKnownAs P39 FINISHED
Object Nicholas Arnstein 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: Nicholas Arnstein | Statement: [Julius Wilford Arnstein, alsoKnownAs, Nicholas Arnstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Arnstein
Context triple: [Julius Wilford Arnstein, alsoKnownAs, Nicholas Arnstein]
  • A. Morton Astrahan
    Morton Astrahan was a pioneering computer scientist best known for his foundational work on IBM’s System R project, which helped establish the relational database model and SQL.
  • B. Victor Newmark
    Victor Newmark is a photographer known for his photographic portrayals of John Teller.
  • C. Julius Wilford Arnstein chosen
    Julius Wilford Arnstein, better known as Nicky Arnstein, was a notorious early 20th-century gambler and con artist who gained wider fame as the husband of entertainer Fanny Brice.
  • D. Edward Zorinsky
    Edward Zorinsky was a U.S. Senator from Nebraska and former mayor of Omaha known for his moderate Democratic politics and service in the late 20th century.
  • E. Geoffrey Arend
    Geoffrey Arend is an American actor known for his character roles in film and television, including a prominent part on the political drama series "Madam Secretary."
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de93109cb081909a6e846db23a4635 completed April 14, 2026, 7:18 p.m.
Created at: April 10, 2026, 1:21 a.m.