Triple

T6812558
Position Surface form Disambiguated ID Type / Status
Subject Mykola E156670 entity
Predicate shortFormPossible P25216 FINISHED
Object Kolya E446528 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: Kolya | Statement: [Mykola, shortFormPossible, Kolya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolya
Context triple: [Mykola, shortFormPossible, Kolya]
  • A. Kolya chosen
    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.
  • B. Olyusha
    Olyusha is a Russian diminutive form of the female given name Olga, typically used as an affectionate nickname.
  • C. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Vasily
    Vasily 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7425a26d88190ab1e3de2e5596108 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:17 p.m.