Triple

T21286635
Position Surface form Disambiguated ID Type / Status
Subject Polina Semyonovna Zhemchuzhina E524676 entity
Predicate familyName P18 FINISHED
Object Zhemchuzhina
Zhemchuzhina was the surname of Polina Semyonovna Zhemchuzhina, a prominent Soviet political figure and wife of Vyacheslav Molotov.
E1475965 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: Zhemchuzhina | Statement: [Polina Semyonovna Zhemchuzhina, familyName, Zhemchuzhina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhemchuzhina
Context triple: [Polina Semyonovna Zhemchuzhina, familyName, Zhemchuzhina]
  • A. Mashenka
    Mashenka is a Russian diminutive form of the female given name Maria, often used affectionately for girls and women.
  • B. Zolotinka
    Zolotinka is a rural settlement located within the Neryungrinsky District of the Sakha Republic (Yakutia) in Russia.
  • C. Zhuliany
    Zhuliany is a neighborhood in Kyiv, Ukraine, best known for hosting one of the city’s main international airports.
  • D. Serafima
    Serafima is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Yakushova
    Yakushova is a Russian surname, notably borne by Nina Ivanovna Yakushova.
  • 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: Zhemchuzhina
Triple: [Polina Semyonovna Zhemchuzhina, familyName, Zhemchuzhina]
Generated description
Zhemchuzhina was the surname of Polina Semyonovna Zhemchuzhina, a prominent Soviet political figure and wife of Vyacheslav Molotov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhemchuzhina
Target entity description: Zhemchuzhina was the surname of Polina Semyonovna Zhemchuzhina, a prominent Soviet political figure and wife of Vyacheslav Molotov.
  • A. Mashenka
    Mashenka is a Russian diminutive form of the female given name Maria, often used affectionately for girls and women.
  • B. Zolotinka
    Zolotinka is a rural settlement located within the Neryungrinsky District of the Sakha Republic (Yakutia) in Russia.
  • C. Zhuliany
    Zhuliany is a neighborhood in Kyiv, Ukraine, best known for hosting one of the city’s main international airports.
  • D. Serafima
    Serafima is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Yakushova
    Yakushova is a Russian surname, notably borne by Nina Ivanovna Yakushova.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d717c88190950bd48058912b65 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099809b3d88190b78ddeae641a7abf completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998f27c6c81908a88a4a831445d57 completed May 17, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a09996de1fc81908f538cb8656e83f1 completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.