Triple

T9045683
Position Surface form Disambiguated ID Type / Status
Subject Юрий E216748 entity
Predicate transliteration P2508 FINISHED
Object Yuriy E324194 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: Yuriy | Statement: [Юрий, transliteration, Yuriy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuriy
Context triple: [Юрий, transliteration, Yuriy]
  • A. Yuriĭ
    Yuriĭ is a given name of Slavic origin, commonly used as a variant of the name Yuri.
  • B. Юрий chosen
    Юрий is a common Russian male given name, often rendered in English as Yuri and borne by numerous notable figures in Russian and Soviet history and culture.
  • C. Yuri Filipchenko
    Yuri Filipchenko was a Russian geneticist and entomologist who helped establish genetics as a scientific discipline in Russia and influenced early evolutionary biology.
  • D. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0177fb9108190846fe872bb003b08 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:09 p.m.