Triple

T15333931
Position Surface form Disambiguated ID Type / Status
Subject Sergei Kiriyenko E366611 entity
Predicate familyName P18 FINISHED
Object Kiriyenko
Kiriyenko is a Russian surname most prominently associated with politician Sergei Kiriyenko, a former prime minister of Russia and senior government official.
 E1152278 NE FINISHED

How this triple was built (4 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: Kiriyenko | Statement: [Sergei Kiriyenko, familyName, Kiriyenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiriyenko
Context triple: [Sergei Kiriyenko, familyName, Kiriyenko]
  • A. Kurylenko
    Kurylenko is a Ukrainian-origin surname most notably borne by actress and model Olga Kurylenko.
  • B. Kostenko
    Kostenko is a Slavic surname of Ukrainian and Russian origin borne by various notable figures in politics, military, arts, and sports.
  • C. Kovpak
    Kovpak is a Ukrainian surname most notably associated with Sydir Kovpak, a famed Soviet partisan leader during World War II.
  • D. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • E. Derevko
    Derevko is the surname of Irina Derevko, a key character in the television series "Alias."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kiriyenko
Triple: [Sergei Kiriyenko, familyName, Kiriyenko]
Generated description
Kiriyenko is a Russian surname most prominently associated with politician Sergei Kiriyenko, a former prime minister of Russia and senior government official.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiriyenko
Target entity description: Kiriyenko is a Russian surname most prominently associated with politician Sergei Kiriyenko, a former prime minister of Russia and senior government official.
  • A. Kurylenko
    Kurylenko is a Ukrainian-origin surname most notably borne by actress and model Olga Kurylenko.
  • B. Kostenko
    Kostenko is a Slavic surname of Ukrainian and Russian origin borne by various notable figures in politics, military, arts, and sports.
  • C. Kovpak
    Kovpak is a Ukrainian surname most notably associated with Sydir Kovpak, a famed Soviet partisan leader during World War II.
  • D. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • E. Derevko
    Derevko is the surname of Irina Derevko, a key character in the television series "Alias."
  • F. None of above. chosen

Provenance (5 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ee7480819080133a9910a2bf52 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff05fbf6e481909727758ae2699bad completed May 9, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff06e098cc8190ab67143071bca1dc completed May 9, 2026, 10:05 a.m.
Created at: April 10, 2026, 3:17 a.m.