Triple

T18441286
Position Surface form Disambiguated ID Type / Status
Subject Georgy Natanson E450532 entity
Predicate givenName P17 FINISHED
Object Georgy E97024 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: Georgy | Statement: [Georgy Natanson, givenName, Georgy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgy
Context triple: [Georgy Natanson, givenName, Georgy]
  • A. Georgy chosen
    Georgy is a masculine given name of Russian origin, notably borne by Soviet military commander Georgy Zhukov.
  • B. Georgii
    Georgii is a masculine given name, commonly used in Slavic countries as a variant of George.
  • C. Georgi
    Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
  • D. Grigory
    Grigory is a masculine given name of Russian origin, historically borne by notable figures such as statesman and nobleman Grigory Orlov.
  • E. Alek
    Alek is a common diminutive or short form of the given name Aleksander, used in various Slavic and European languages.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c10a86c819091196968b648fc92 completed April 19, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fdb4c648190aa56212c3c1e15ce completed May 13, 2026, 5:44 a.m.
Created at: April 10, 2026, 11:30 a.m.