Triple

T15884901
Position Surface form Disambiguated ID Type / Status
Subject Irina E385166 entity
Predicate hasVariant P455 FINISHED
Object Iryna
Iryna is a feminine given name, commonly used in Slavic countries and often considered a Ukrainian variant of the name Irina.
 E367823 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: Iryna | Statement: [Irina, hasVariant, Iryna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iryna
Context triple: [Irina, hasVariant, Iryna]
  • A. Krushelnytska
    Krushelnytska is a Ukrainian surname most famously associated with Solomiya Krushelnytska, a renowned early 20th-century opera singer.
  • B. Oleksandra
    Oleksandra is a feminine given name commonly used in Slavic countries, particularly Ukraine, and is the female form of Oleksandr (Alexander).
  • C. Kateryna
    Kateryna is a feminine given name, commonly used in Slavic countries, that is a variant of the name Katherine.
  • D. Olha Khoruzhynska
    Olha Khoruzhynska was the wife of prominent Ukrainian writer and political activist Ivan Franko.
  • E. Iryna Herashchenko
    Iryna Herashchenko is a Ukrainian politician and journalist known for her roles in parliament and involvement in national security and humanitarian issues.
  • 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: Iryna
Triple: [Irina, hasVariant, Iryna]
Generated description
Iryna is a feminine given name, commonly used in Slavic countries and often considered a Ukrainian variant of the name Irina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iryna
Target entity description: Iryna is a feminine given name, commonly used in Slavic countries and often considered a Ukrainian variant of the name Irina.
  • A. Krushelnytska
    Krushelnytska is a Ukrainian surname most famously associated with Solomiya Krushelnytska, a renowned early 20th-century opera singer.
  • B. Oleksandra
    Oleksandra is a feminine given name commonly used in Slavic countries, particularly Ukraine, and is the female form of Oleksandr (Alexander).
  • C. Kateryna
    Kateryna is a feminine given name, commonly used in Slavic countries, that is a variant of the name Katherine.
  • D. Olha Khoruzhynska
    Olha Khoruzhynska was the wife of prominent Ukrainian writer and political activist Ivan Franko.
  • E. Iryna Herashchenko chosen
    Iryna Herashchenko is a Ukrainian politician and journalist known for her roles in parliament and involvement in national security and humanitarian issues.
  • F. None of above.

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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95651f88190a9aac72a667b999f completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa07df788190bae67f3d9a800331 completed May 9, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69ffaaa92a648190a09829ef3197223c completed May 9, 2026, 9:44 p.m.
Created at: April 10, 2026, 4:51 a.m.