Triple

T8094944
Position Surface form Disambiguated ID Type / Status
Subject Danilovich E188958 entity
Predicate femaleCounterpart P1613 FINISHED
Object Danilovna
Danilovna is a Russian patronymic suffix used for women, indicating "daughter of Danil" or "daughter of Daniel."
 E708995 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: Danilovna | Statement: [Danilovich, femaleCounterpart, Danilovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danilovna
Context triple: [Danilovich, femaleCounterpart, Danilovna]
  • A. Danilova
    Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
  • B. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • C. Danilovich
    Danilovich is a Russian patronymic indicating "son of Danilo," commonly used as a middle name in Slavic naming traditions.
  • D. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • E. Iosifovna
    Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
  • 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: Danilovna
Triple: [Danilovich, femaleCounterpart, Danilovna]
Generated description
Danilovna is a Russian patronymic suffix used for women, indicating "daughter of Danil" or "daughter of Daniel."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danilovna
Target entity description: Danilovna is a Russian patronymic suffix used for women, indicating "daughter of Danil" or "daughter of Daniel."
  • A. Danilova
    Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
  • B. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • C. Danilovich
    Danilovich is a Russian patronymic indicating "son of Danilo," commonly used as a middle name in Slavic naming traditions.
  • D. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • E. Iosifovna
    Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429089cc81909e4625f9cc7e305f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6414ca048190ac0e644b2c399bfb completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651eecf481909bf0ea90001c83f3 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664d69a08190b92e34a0e1de48a7 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:30 p.m.