Triple

T15498465
Position Surface form Disambiguated ID Type / Status
Subject Galina E378883 entity
Predicate hasVariant P455 FINISHED
Object Galyna E1160072 NE 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: Galyna | Statement: [Galina, hasVariant, Galyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galyna
Context triple: [Galina, hasVariant, Galyna]
  • A. Oleksandra
    Oleksandra is a feminine given name commonly used in Slavic countries, particularly Ukraine, and is the female form of Oleksandr (Alexander).
  • B. Kateryna
    Kateryna is a feminine given name, commonly used in Slavic countries, that is a variant of the name Katherine.
  • C. Halyna chosen
    Halyna is a Ukrainian female given name, commonly considered a variant of the Slavic name Galina.
  • D. Maria Demchenko
    Maria Demchenko was a celebrated Soviet agricultural worker renowned for her record-breaking labor productivity and iconic role in promoting the Stakhanovite movement.
  • E. Krushelnytska
    Krushelnytska is a Ukrainian surname most famously associated with Solomiya Krushelnytska, a renowned early 20th-century opera singer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4a9bf88190b7c6b4874abe165f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:53 a.m.