Triple

T8880378
Position Surface form Disambiguated ID Type / Status
Subject Klavdiya Sverdlova E211394 entity
Predicate givenName P17 FINISHED
Object Klavdiya
Klavdiya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
 E765316 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: Klavdiya | Statement: [Klavdiya Sverdlova, givenName, Klavdiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klavdiya
Context triple: [Klavdiya Sverdlova, givenName, Klavdiya]
  • A. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • B. Praskovya
    Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
  • C. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • D. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • E. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • 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: Klavdiya
Triple: [Klavdiya Sverdlova, givenName, Klavdiya]
Generated description
Klavdiya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klavdiya
Target entity description: Klavdiya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
  • A. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • B. Praskovya
    Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
  • C. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • D. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • E. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61677c9c8190aa09dc2a05d4cf95 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabc1992481909e8a4216086d5111 completed April 3, 2026, noon
NEDg Description generation batch_69cfadbfa4888190931c76599631366a completed April 3, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfae3a88dc81908419c44bc83b188a completed April 3, 2026, 12:10 p.m.
Created at: March 30, 2026, 6:52 p.m.