Triple

T35712647
Position Surface form Disambiguated ID Type / Status
Subject Leonty E1031908 entity
Predicate hasPatronymicFeminineForm P84827 FINISHED
Object Leontyevna LITERAL FINISHED

How this triple was built (2 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: Leontyevna | Statement: [Leonty, hasPatronymicFeminineForm, Leontyevna]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPatronymicFeminineForm
Context triple: [Leonty, hasPatronymicFeminineForm, Leontyevna]
  • A. hasPatronymicDerivative chosen
    Indicates that one name or term is derived from another by forming a patronymic, typically expressing descent or lineage from a person.
  • B. hasPatronymicUse
    Indicates that an entity uses a patronymic form of naming derived from a parent’s (typically the father’s) given name.
  • C. isPatronymicName
    Indicates that a name is derived from a father’s or ancestor’s given name, typically signifying lineage or descent.
  • D. isPatronymicSurname
    Indicates that a surname is derived from the given name of a father or male ancestor, typically signifying "son/daughter of" that person.
  • E. usesPatronymicPrefix
    Indicates that one entity forms or refers to a person’s name using a patronymic prefix derived from their father’s (or ancestor’s) name.
  • F. None of above.

Provenance (3 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_69f76e0df1d08190965b1c6dff94c391 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffe01c9d3c819084c256bb3c81c0dc completed May 10, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69ffdfcc78b08190aa4493f13d62a531 completed May 10, 2026, 1:30 a.m.
Created at: May 3, 2026, 4:05 p.m.