Triple

T13572369
Position Surface form Disambiguated ID Type / Status
Subject Юрий E324194 entity
Predicate relatedName P3889 FINISHED
Object Георгий unclear NED1 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: Георгий | Statement: [Юрий, relatedName, Георгий]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Георгий
Context triple: [Юрий, relatedName, Георгий]
  • A. Georgi
    Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
  • B. Grigory
    Grigory is a masculine given name of Russian origin, historically borne by notable figures such as statesman and nobleman Grigory Orlov.
  • C. Aleksandr
    Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
  • D. Grigory Spiridov
    Grigory Spiridov was a prominent 18th-century Russian admiral best known for his leadership in the Russo-Turkish War, particularly at the Battle of Chesma.
  • E. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb827d48190958e5710d554cd04 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.