Triple

T4116709
Position Surface form Disambiguated ID Type / Status
Subject Władysław E90309 entity
Predicate etymologicalRelation P2530 FINISHED
Object Vladislav E331996 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: Vladislav | Statement: [Władysław, etymologicalRelation, Vladislav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladislav
Context triple: [Władysław, etymologicalRelation, Vladislav]
  • A. Vladislav chosen
    Vladislav is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • C. Vladimir
    Vladimir is a common Russian male given name of Slavic origin, historically associated with rulers and notably borne by Russian president Vladimir Putin.
  • D. Vladimir
    Vladimir is a historic Russian city east of Moscow, known as one of the medieval capitals of Russia and a key center of the Golden Ring.
  • E. Sviatoslav
    Sviatoslav is a masculine given name of Slavic origin, historically borne by medieval rulers such as Sviatoslav I of Kiev.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01f347f8819080dd250398474d7e completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be395356e88190ba6c4b228669e40c completed March 21, 2026, 6:23 a.m.
Created at: March 9, 2026, 3:41 p.m.