Triple

T18342646
Position Surface form Disambiguated ID Type / Status
Subject Serhiy Kivalov E439448 entity
Predicate familyName P18 FINISHED
Object Kivalov
Kivalov is the surname of Serhiy Kivalov, a Ukrainian politician and legal scholar known for his influential role in the country’s judicial and electoral systems.
 E1322609 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: Kivalov | Statement: [Serhiy Kivalov, familyName, Kivalov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kivalov
Context triple: [Serhiy Kivalov, familyName, Kivalov]
  • A. Kljusev
    Kljusev is the surname of Nikola Kljusev, a prominent Macedonian economist and the first Prime Minister of independent Macedonia.
  • B. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • C. Strezhevoy
    Strezhevoy is a small oil-industry city in western Siberia, Russia, located on the Ob River.
  • D. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • E. Lestkov
    Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • 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: Kivalov
Triple: [Serhiy Kivalov, familyName, Kivalov]
Generated description
Kivalov is the surname of Serhiy Kivalov, a Ukrainian politician and legal scholar known for his influential role in the country’s judicial and electoral systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kivalov
Target entity description: Kivalov is the surname of Serhiy Kivalov, a Ukrainian politician and legal scholar known for his influential role in the country’s judicial and electoral systems.
  • A. Kljusev
    Kljusev is the surname of Nikola Kljusev, a prominent Macedonian economist and the first Prime Minister of independent Macedonia.
  • B. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • C. Strezhevoy
    Strezhevoy is a small oil-industry city in western Siberia, Russia, located on the Ob River.
  • D. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • E. Lestkov
    Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f188e081909cdbce61a21b9591 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e234ba348190be798b49ab8ce827 completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e4742820819083881be22d8dc2f1 completed May 13, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a03e507a6c881909bc09998f44eab4f completed May 13, 2026, 2:42 a.m.
Created at: April 10, 2026, 10:37 a.m.