Triple

T1597798
Position Surface form Disambiguated ID Type / Status
Subject Aleksandr Lyapunov E34323 entity
Predicate givenName P17 FINISHED
Object Aleksandr
Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
E214186 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: Aleksandr | Statement: [Aleksandr Lyapunov, givenName, Aleksandr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleksandr
Context triple: [Aleksandr Lyapunov, givenName, Aleksandr]
  • A. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • B. Nikolaevich
    Nikolaevich is a Russian patronymic meaning "son of Nikolai," commonly used in the full names of male members of the Russian imperial family and others bearing the given name Nikolai.
  • C. Mikhail
    Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Alexey
    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."
  • 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: Aleksandr
Triple: [Aleksandr Lyapunov, givenName, Aleksandr]
Generated description
Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aleksandr
Target entity description: Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
  • A. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • B. Nikolaevich
    Nikolaevich is a Russian patronymic meaning "son of Nikolai," commonly used in the full names of male members of the Russian imperial family and others bearing the given name Nikolai.
  • C. Mikhail
    Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Alexey
    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."
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092f5f148190b987bc943e89e29c completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac40c608190800da8b029ef065a completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb9dccf48190800ddd282331c4b4 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adf023e39c8190a2651b6c1e59a2ee completed March 8, 2026, 9:54 p.m.
Created at: March 4, 2026, 7:27 p.m.