Triple

T13598212
Position Surface form Disambiguated ID Type / Status
Subject Bronshteyn E324876 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Bronshtein E324874 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: Bronshtein | Statement: [Bronshteyn, hasAlternativeTransliteration, Bronshtein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronshtein
Context triple: [Bronshteyn, hasAlternativeTransliteration, Bronshtein]
  • A. Bronshtein chosen
    Bronshtein is a variant spelling of the surname Bronstein, commonly associated with Ashkenazi Jewish families and notable figures in fields such as chess, physics, and politics.
  • B. Bronshteyn
    Bronshteyn is a variant spelling of the surname Bronstein, commonly found among people of Eastern European Jewish origin.
  • C. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • D. Korsch
    Korsch is a German surname most notably associated with Marxist theorist and philosopher Karl Korsch.
  • E. Bronštein
    Bronštein is a variant spelling of the surname Bronstein, commonly associated with Ashkenazi Jewish families and notable figures in fields such as chess, science, and the arts.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0795acc8190a08667ab9dcb0d44 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f92224c8190b66adef1291cd47f completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.