Triple

T3308378
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Alekseyev E69507 entity
Predicate familyName P18 FINISHED
Object Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
 E348740 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: Alekseyev | Statement: [Mikhail Alekseyev, familyName, Alekseyev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alekseyev
Context triple: [Mikhail Alekseyev, familyName, Alekseyev]
  • A. Alekseevich
    Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. 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.
  • D. Peshkov
    Peshkov is a Russian surname most famously borne by Alexei Maximovich Peshkov, better known by his pen name Maxim Gorky, a prominent writer and political activist.
  • E. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • 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: Alekseyev
Triple: [Mikhail Alekseyev, familyName, Alekseyev]
Generated description
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alekseyev
Target entity description: Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • A. Alekseevich
    Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. 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.
  • D. Peshkov
    Peshkov is a Russian surname most famously borne by Alexei Maximovich Peshkov, better known by his pen name Maxim Gorky, a prominent writer and political activist.
  • E. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0cc15088190b51c311c6590df04 completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a73c1c8819082e522221a8b2a54 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c34cc388190a5fab8e9b2a1aa92 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da025048190b7d1611df82a542c completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:11 p.m.