Triple

T22794347
Position Surface form Disambiguated ID Type / Status
Subject Natalya Bondarchuk E564200 entity
Predicate givenName P17 FINISHED
Object Natalya NE NERFINISHED

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: Natalya | Statement: [Natalya Bondarchuk, givenName, Natalya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalya
Context triple: [Natalya Bondarchuk, givenName, Natalya]
  • A. Natalya chosen
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • B. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • C. Nataly
    Nataly is the given name of Nataly Dawn, an American singer-songwriter best known as one half of the indie pop duo Pomplamoose.
  • D. Natalya Sats
    Natalya Sats was a pioneering Soviet theater director and founder of the world’s first professional theater for children, renowned for her influential work in children’s performing arts.
  • E. Yelena
    Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd81794819091b528600e322d7b completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.