Triple

T2580384
Position Surface form Disambiguated ID Type / Status
Subject Gennady Zyuganov E57075 entity
Predicate givenName P17 FINISHED
Object Gennady
Gennady is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
 E279793 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: Gennady | Statement: [Gennady Zyuganov, givenName, Gennady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gennady
Context triple: [Gennady Zyuganov, givenName, Gennady]
  • A. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • B. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • D. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • E. Yakov
    Yakov was the eldest son of Soviet leader Joseph Stalin, known for his troubled relationship with his father and his death as a prisoner of war during World War II.
  • 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: Gennady
Triple: [Gennady Zyuganov, givenName, Gennady]
Generated description
Gennady is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gennady
Target entity description: Gennady is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • A. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • B. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • D. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • E. Yakov
    Yakov was the eldest son of Soviet leader Joseph Stalin, known for his troubled relationship with his father and his death as a prisoner of war during World War II.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c6da888190ba7abfe37d182602 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6579bab88190891c23721eaccfc8 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af67843ef481909dfa3d6cb29cef51 completed March 10, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69af67fc75c48190aa04defed7ad2aaf completed March 10, 2026, 12:38 a.m.
Created at: March 6, 2026, 9:49 p.m.