Triple

T7312762
Position Surface form Disambiguated ID Type / Status
Subject Zoya Kosmodemyanskaya E168134 entity
Predicate givenName P17 FINISHED
Object Zoya
Zoya is a feminine given name of Russian origin, widely recognized through its association with Soviet World War II partisan Zoya Kosmodemyanskaya.
 E656191 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: Zoya | Statement: [Zoya Kosmodemyanskaya, givenName, Zoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zoya
Context triple: [Zoya Kosmodemyanskaya, givenName, Zoya]
  • A. Raisa
    Raisa Gorbacheva was the influential and highly visible wife of Soviet leader Mikhail Gorbachev, known for her intellectual background, public role, and charitable work.
  • B. Roksana
    Roksana is a feminine given name, commonly used in various Slavic and Persian-influenced cultures, that is a variant of the name Roxana.
  • C. Ayesha
    Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
  • D. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • E. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • 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: Zoya
Triple: [Zoya Kosmodemyanskaya, givenName, Zoya]
Generated description
Zoya is a feminine given name of Russian origin, widely recognized through its association with Soviet World War II partisan Zoya Kosmodemyanskaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zoya
Target entity description: Zoya is a feminine given name of Russian origin, widely recognized through its association with Soviet World War II partisan Zoya Kosmodemyanskaya.
  • A. Raisa
    Raisa Gorbacheva was the influential and highly visible wife of Soviet leader Mikhail Gorbachev, known for her intellectual background, public role, and charitable work.
  • B. Roksana
    Roksana is a feminine given name, commonly used in various Slavic and Persian-influenced cultures, that is a variant of the name Roxana.
  • C. Ayesha
    Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
  • D. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • E. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec02319c819096d25e3683943886 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56b4178819087341903a168440b completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e69b51d88190a25fbcec7993654f completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e76f3cd88190957e096c81e6e803 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3:02 p.m.