Triple

T21045860
Position Surface form Disambiguated ID Type / Status
Subject Tymofiy E518447 entity
Predicate hasVariant P455 FINISHED
Object Timofey 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: Timofey | Statement: [Tymofiy, hasVariant, Timofey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timofey
Context triple: [Tymofiy, hasVariant, Timofey]
  • A. Timofey chosen
    Timofey is a masculine given name, primarily used in Russian and other Slavic cultures, derived from the ancient Greek name Timotheus.
  • B. Timofei
    Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
  • C. Danil
    Danil is a masculine given name, common in Slavic countries, that is a variant of Daniel and typically means "God is my judge."
  • D. Vova
    Vova is a common Russian diminutive form of the male given name Vladimir.
  • E. Tymofiy
    Tymofiy is a masculine given name of Ukrainian origin, notably borne by economist and former Ukrainian minister Tymofiy Mylovanov.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf3cac081909915a440fbb5c084 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:33 p.m.