Triple

T2108974
Position Surface form Disambiguated ID Type / Status
Subject Mayakovskaya E42459 entity
Predicate designedBy P184 FINISHED
Object Alexey Dushkin E486914 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: Alexey Dushkin | Statement: [Mayakovskaya, designedBy, Alexey Dushkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexey Dushkin
Context triple: [Mayakovskaya, designedBy, Alexey Dushkin]
  • A. Alexey Dushkin chosen
    Alexey Dushkin was a prominent Soviet architect known for his influential designs of Moscow Metro stations and other landmark Stalin-era structures.
  • B. Alexey Shchusev
    Alexey Shchusev was a prominent Russian and Soviet architect known for blending traditional Russian styles with modernist principles in major state and religious buildings.
  • C. Nikolay Yevdokimov
    Nikolay Yevdokimov was a Russian Imperial general known for his leading role in the final, often brutal, campaigns that subdued resistance in the Caucasus during the 19th century.
  • D. Mikhail Posokhin
    Mikhail Posokhin was a prominent Soviet architect known for major state projects in Moscow, including landmark government and cultural buildings.
  • E. Alexander Vovin
    Alexander Vovin was a prominent historical linguist and philologist specializing in East Asian and especially Japanese and Koreanic languages, known for his influential work on language classification and historical reconstruction.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbae03f308190841f5a419bb821f6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a763c5081909cfb4b209207c859 completed March 22, 2026, 12:40 a.m.
Created at: March 4, 2026, 7:43 p.m.