Triple

T8622540
Position Surface form Disambiguated ID Type / Status
Subject Aleksey Yermolov E204202 entity
Predicate givenName P17 FINISHED
Object Aleksey 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: Aleksey | Statement: [Aleksey Yermolov, givenName, Aleksey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleksey
Context triple: [Aleksey Yermolov, givenName, Aleksey]
  • A. Aleksandr
    Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
  • B. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • C. 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."
  • D. Nikolai
    Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
  • E. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4717f0e88190aaf0fd45bf726941 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f4e2d881908fb539e842c20e8d completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:26 p.m.