Triple

T7775332
Position Surface form Disambiguated ID Type / Status
Subject Levenstein E221375 entity
Predicate hasSpellingVariant P457 FINISHED
Object Lowenstein E221374 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: Lowenstein | Statement: [Levenstein, hasSpellingVariant, Lowenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lowenstein
Context triple: [Levenstein, hasSpellingVariant, Lowenstein]
  • A. Lowenstein chosen
    Lowenstein is a surname of German origin, often associated with Jewish families and various notable individuals in fields such as politics, academia, and the arts.
  • B. Bronstein
    Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
  • C. Rosenfeld
    Rosenfeld is a notable architectural work designed by 19th-century American architect Alexander Jackson Davis.
  • D. Greenberg
    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.
  • E. Loebl Schlossman & Hackl
    Loebl Schlossman & Hackl is a Chicago-based architectural firm known for designing prominent commercial and high-rise buildings.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d005808190ac14c8d716421bdb completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb136bafb88190a6f980622317df76 completed March 31, 2026, 12:20 a.m.
Created at: March 30, 2026, 3:45 p.m.