Triple

T28304252
Position Surface form Disambiguated ID Type / Status
Subject Smirnov E713795 entity
Predicate orthographicFormInRussian P33995 FINISHED
Object Смирнов
Смирнов — распространённая русская фамилия, происходящая от слова «смирный» и широко встречающаяся в России и странах бывшего СССР.
 E1814018 NE FINISHED

How this triple was built (3 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]
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: Смирнов
Triple: [Smirnov, orthographicFormInRussian, Смирнов]
Generated description
Смирнов — распространённая русская фамилия, происходящая от слова «смирный» и широко встречающаяся в России и странах бывшего СССР.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a1627a84c8081908d8c260fe2e412c9 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a16290c6a808190817f7bee27d4e0ee completed May 26, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_6a162a28a0bc81909d87cabc75fdb1c3 completed May 26, 2026, 11:18 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 27, 2026, 11:36 p.m.