Triple

T17073649
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Bronshtein E414288 entity
Predicate familyName P18 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: [Mikhail Bronshtein, familyName, Bronshtein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronshtein
Context triple: [Mikhail Bronshtein, familyName, 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.