Triple

T4560364
Position Surface form Disambiguated ID Type / Status
Subject Konstantin Stanislavski E120576 entity
Predicate familyName P18 FINISHED
Object Alekseyev E348740 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: Alekseyev | Statement: [Konstantin Stanislavski, familyName, Alekseyev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alekseyev
Context triple: [Konstantin Stanislavski, familyName, Alekseyev]
  • A. Alekseyev chosen
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • B. Alekseevich
    Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
  • C. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • D. 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.
  • E. 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.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be397d7358819086fa3851318973ea completed March 21, 2026, 6:23 a.m.
Created at: March 20, 2026, 1:09 p.m.