Triple

T29207089
Position Surface form Disambiguated ID Type / Status
Subject Sergei Komarov E740440 entity
Predicate nameInCyrillicAlphabet P118020 FINISHED
Object Сергей Комаров
Сергей Комаров — распространённое русское имя и фамилия, которые могут принадлежать разным деятелям культуры, спорта и других сфер.
 E1856231 NE FINISHED

How this triple was built (3 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: Сергей Комаров | Statement: [Sergei Komarov, nameInCyrillicAlphabet, Сергей Комаров]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Сергей Комаров
Triple: [Sergei Komarov, nameInCyrillicAlphabet, Сергей Комаров]
Generated description
Сергей Комаров — распространённое русское имя и фамилия, которые могут принадлежать разным деятелям культуры, спорта и других сфер.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameInCyrillicAlphabet
Context triple: [Sergei Komarov, nameInCyrillicAlphabet, Сергей Комаров]
  • A. CyrillicName chosen
    Indicates that an entity has a name written in the Cyrillic script.
  • B. nameInLatinAlphabet
    Indicates that an entity’s name is written or represented using the Latin alphabet.
  • C. nameInRussian
    Indicates that an entity is known or referred to by a specific name when expressed in the Russian language.
  • D. currentNameInRussian
    Indicates the current official name of an entity as expressed in the Russian language.
  • E. nameInSerbianCyrillic
    Indicates that an entity’s name is written in the Serbian Cyrillic script.
  • F. None of above.

Provenance (6 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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569c335e8819092760b51b1224dc5 completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256fb17a888190bde616b95d66ab47 completed June 7, 2026, 1:18 p.m.
NED2 Entity disambiguation (via description) batch_6a257365ca8c8190945e82297e2d8a12 completed June 7, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 12:09 p.m.