Triple

T6849749
Position Surface form Disambiguated ID Type / Status
Subject Barnet David Rosofsky E157984 entity
Predicate familyName P18 FINISHED
Object Rosofsky E157984 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: Rosofsky | Statement: [Barnet David Rosofsky, familyName, Rosofsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosofsky
Context triple: [Barnet David Rosofsky, familyName, Rosofsky]
  • A. Rosofsky chosen
    Rosofsky is a Jewish surname associated with individuals such as the American boxer and war hero Barney Ross, whose birth name was Barnet David Rosofsky.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Rosenfeld
    Rosenfeld is a notable architectural work designed by 19th-century American architect Alexander Jackson Davis.
  • D. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • E. Rosenstein
    Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84acb288190a67d974197ecab2f completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fcdf3888190b95b2ce10964793b completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.