Triple

T9045812
Position Surface form Disambiguated ID Type / Status
Subject Valentina E216751 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Valya (in Russian contexts)
Valya is a common Russian diminutive form of the female given name Valentina, used in informal and affectionate contexts.
 E774326 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: Valya (in Russian contexts) | Statement: [Valentina, hasDiminutiveForm, Valya (in Russian contexts)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valya (in Russian contexts)
Context triple: [Valentina, hasDiminutiveForm, Valya (in Russian contexts)]
  • A. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • B. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • C. Anatolyevna
    Anatolyevna is a Russian patronymic suffix used for women whose father's given name is Anatoly.
  • 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. Zaitseva
    Zaitseva is a common Russian feminine surname derived from the masculine form Zaitsev.
  • 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: Valya (in Russian contexts)
Triple: [Valentina, hasDiminutiveForm, Valya (in Russian contexts)]
Generated description
Valya is a common Russian diminutive form of the female given name Valentina, used in informal and affectionate contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valya (in Russian contexts)
Target entity description: Valya is a common Russian diminutive form of the female given name Valentina, used in informal and affectionate contexts.
  • A. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • B. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • C. Anatolyevna
    Anatolyevna is a Russian patronymic suffix used for women whose father's given name is Anatoly.
  • 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. Zaitseva
    Zaitseva is a common Russian feminine surname derived from the masculine form Zaitsev.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebada5948190add8813ba547647f completed April 3, 2026, 4:32 p.m.
NEDg Description generation batch_69cfed4fb6cc8190bb97345dd392b25b completed April 3, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69cfedf299908190852cc627fd7134b9 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:09 p.m.