Triple

T11140445
Position Surface form Disambiguated ID Type / Status
Subject Kateryna E263535 entity
Predicate hasVariant P455 FINISHED
Object Katerina E64628 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: Katerina | Statement: [Kateryna, hasVariant, Katerina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katerina
Context triple: [Kateryna, hasVariant, Katerina]
  • A. Caterina chosen
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • D. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • E. Aikaterine
    Aikaterine is an ancient Greek female given name that is the linguistic ancestor of various forms such as Katherine and Kathleen.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e860ca408190bea461e115f04fd7 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463177bfc81908a3e66ffc0777777 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.