Triple

T11599166
Position Surface form Disambiguated ID Type / Status
Subject Sergei Belov E275081 entity
Predicate familyName P18 FINISHED
Object Belov
Belov is a common Russian surname borne by numerous notable figures in sports, arts, and public life.
 E936102 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: Belov | Statement: [Sergei Belov, familyName, Belov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belov
Context triple: [Sergei Belov, familyName, Belov]
  • A. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • B. Baklanov
    Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • C. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • D. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union 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: Belov
Triple: [Sergei Belov, familyName, Belov]
Generated description
Belov is a common Russian surname borne by numerous notable figures in sports, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belov
Target entity description: Belov is a common Russian surname borne by numerous notable figures in sports, arts, and public life.
  • A. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • B. Baklanov
    Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • C. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • D. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954c3c248190bcccd4c7ff667b3a completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7dd83d48190b281a6fcfc3e4087 completed April 22, 2026, 10:50 a.m.
NEDg Description generation batch_69e8af93e07c8190aecb040cac6db146 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b254a2081909cba97a6ecb10601 completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.