Triple

T11037503
Position Surface form Disambiguated ID Type / Status
Subject Xenia Borisovna Godunova E260923 entity
Predicate patronymicName P7966 FINISHED
Object Borisovna
Borisovna is a Russian patronymic given name indicating that a woman is the daughter of someone named Boris.
 E900731 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: Borisovna | Statement: [Xenia Borisovna Godunova, patronymicName, Borisovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borisovna
Context triple: [Xenia Borisovna Godunova, patronymicName, Borisovna]
  • A. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • B. Ivanova
    Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
  • C. Praskovya
    Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
  • D. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • E. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • 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: Borisovna
Triple: [Xenia Borisovna Godunova, patronymicName, Borisovna]
Generated description
Borisovna is a Russian patronymic given name indicating that a woman is the daughter of someone named Boris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borisovna
Target entity description: Borisovna is a Russian patronymic given name indicating that a woman is the daughter of someone named Boris.
  • A. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • B. Ivanova
    Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
  • C. Praskovya
    Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
  • D. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • E. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fd5fe081908af13835b18de7b8 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9c669608190af97c461beaf9f31 completed April 18, 2026, 3:56 p.m.
NEDg Description generation batch_69e3ad00b5c08190a7bf3ecbeae76d88 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1fff754819092d634f46fb42387 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:25 p.m.