Triple

T2734480
Position Surface form Disambiguated ID Type / Status
Subject Alexey E60595 entity
Predicate correspondsTo P6530 FINISHED
Object Алексей E60595 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: Алексей | Statement: [Alexey, correspondsTo, Алексей]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Алексей
Context triple: [Alexey, correspondsTo, Алексей]
  • A. Alexey chosen
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • B. Юрий
    Юрий is a common Russian male given name, often rendered in English as Yuri and borne by numerous notable figures in Russian and Soviet history and culture.
  • C. Aleksandr
    Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
  • D. Alekseevich
    Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
  • E. Mikhail
    Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6d1e3b08190beff7f113dec8b1c completed March 14, 2026, 8:36 p.m.
Created at: March 6, 2026, 9:56 p.m.