Triple

T19936747
Position Surface form Disambiguated ID Type / Status
Subject Valerii Zaluzhnyi E479193 entity
Predicate givenName P17 FINISHED
Object Valerii 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: Valerii | Statement: [Valerii Zaluzhnyi, givenName, Valerii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerii
Context triple: [Valerii Zaluzhnyi, givenName, Valerii]
  • A. Valerii chosen
    Valerii is a given name, primarily used in Slavic countries, that serves as a variant of the name Valery.
  • B. Sergo
    Sergo is a masculine given name, particularly common in Georgian and other Caucasian cultures.
  • C. Konstantin
    Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
  • D. Grigory
    Grigory is a masculine given name of Russian origin, historically borne by notable figures such as statesman and nobleman Grigory Orlov.
  • E. Ratmir
    Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a17fb2c8190b3aaae88e741648a completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.