Triple

T11766492
Position Surface form Disambiguated ID Type / Status
Subject Gennady E279793 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Genya E945432 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: Genya | Statement: [Gennady, hasDiminutiveForm, Genya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genya
Context triple: [Gennady, hasDiminutiveForm, Genya]
  • A. Gena chosen
    Gena is a Russian diminutive form of the male given name Gennady, commonly used as an informal or affectionate nickname.
  • B. Geneina
    Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
  • C. Geisa
    Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
  • D. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • E. Yuri
    Yuri is a Papuan language belonging to the Karkar-Yuri language family of New Guinea.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130b45ce081908669f4287961da7c completed April 28, 2026, 10:12 p.m.
Created at: April 8, 2026, 9:41 p.m.