Triple

T13572362
Position Surface form Disambiguated ID Type / Status
Subject Юрий E324194 entity
Predicate hasDiminutive P456 FINISHED
Object Юрик 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: Юрик | Statement: [Юрий, hasDiminutive, Юрик]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Юрик
Context triple: [Юрий, hasDiminutive, Юрик]
  • A. 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.
  • B. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Kolya
    Kolya is a charismatic, roguish young Russian soldier in David Benioff’s novel "City of Thieves," known for his wit, bravado, and unlikely friendship with the protagonist during the Siege of Leningrad.
  • E. Kolya
    Kolya is a common Russian diminutive form of the male given name Nikolay (Nicholas).
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05c844c8190bb4b72d2400a6355 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:48 p.m.