Triple

T16147155
Position Surface form Disambiguated ID Type / Status
Subject Ivanna Sakhno E391812 entity
Predicate name P16 FINISHED
Object Ivanna Sakhno E391812 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: Ivanna Sakhno | Statement: [Ivanna Sakhno, name, Ivanna Sakhno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivanna Sakhno
Context triple: [Ivanna Sakhno, name, Ivanna Sakhno]
  • A. Ivanna Sakhno chosen
    Ivanna Sakhno is a Ukrainian-born actress known for her roles in American film and television, including prominent parts in action-comedy and science fiction projects.
  • B. Iryna Khalip
    Iryna Khalip is a Belarusian journalist and prominent opposition figure known for her critical reporting on the Lukashenko regime and for facing persecution due to her work.
  • C. Olha Khoruzhynska
    Olha Khoruzhynska was the wife of prominent Ukrainian writer and political activist Ivan Franko.
  • D. Yulia Kravchuk
    Yulia Kravchuk is a notable individual who carries the Ukrainian surname Kravchuk, associated with various prominent figures in Eastern Europe.
  • E. Olena Pchilka
    Olena Pchilka was a prominent Ukrainian writer, folklorist, and cultural activist of the late 19th and early 20th centuries.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d947e68819081b4b7c757ce71b6 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a7dc3481909f933acd72d6feff completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.