Triple

T19896149
Position Surface form Disambiguated ID Type / Status
Subject Sergey Surovikin E478157 entity
Predicate familyName P18 FINISHED
Object Surovikin
Surovikin is a Russian army general known for his prominent command roles in the Syrian civil war and the 2022 invasion of Ukraine.
 E1401594 NE FINISHED

How this triple was built (4 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: Surovikin | Statement: [Sergey Surovikin, familyName, Surovikin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Surovikin
Context triple: [Sergey Surovikin, familyName, Surovikin]
  • A. Shchusev
    Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
  • B. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • C. Sulimov
    Sulimov was the former name of the city now known as Cherkessk, the capital of Karachay-Cherkessia in southwestern Russia.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Surovikin
Triple: [Sergey Surovikin, familyName, Surovikin]
Generated description
Surovikin is a Russian army general known for his prominent command roles in the Syrian civil war and the 2022 invasion of Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Surovikin
Target entity description: Surovikin is a Russian army general known for his prominent command roles in the Syrian civil war and the 2022 invasion of Ukraine.
  • A. Shchusev
    Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
  • B. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • C. Sulimov
    Sulimov was the former name of the city now known as Cherkessk, the capital of Karachay-Cherkessia in southwestern Russia.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • F. None of above. chosen

Provenance (5 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593dba78819082c8b80e65246171 completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea4027c081909f3e67f3f5dda46a completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ebef0a088190996451d7c0fdb013 completed May 16, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_6a07ecb5ec708190bc79a1be73f746d9 completed May 16, 2026, 4:04 a.m.
Created at: April 10, 2026, 1:52 p.m.