Triple

T28304252
Position Surface form Disambiguated ID Type / Status
Subject Smirnov E713795 entity
Predicate orthographicFormInRussian P33995 FINISHED
Object Смирнов NE NERFINISHED

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: Смирнов | Statement: [Smirnov, orthographicFormInRussian, Смирнов]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orthographicFormInRussian
Context triple: [Smirnov, orthographicFormInRussian, Смирнов]
  • A. hasOrthographicReform
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • B. orthographicVariant chosen
    Indicates that two written forms are different spellings or orthographic representations of the same linguistic item.
  • C. roleInOrthography
    Indicates the specific function or contribution an element has within a given writing system or orthographic structure.
  • D. orthographicIndependence
    Indicates that one writing system or orthographic form functions independently of, and is not derived from or constrained by, another.
  • E. accentedFormOf
    Indicates that one linguistic form is an accented or diacritically marked variant of another, more basic form.
  • 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_69efb524ab688190a1ce7ee7c9520932 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 27, 2026, 11:36 p.m.