Triple

T12257358
Position Surface form Disambiguated ID Type / Status
Subject Oleg Salenko E292135 entity
Predicate familyName P18 FINISHED
Object Salenko
Salenko is a Slavic surname most notably associated with former Russian footballer Oleg Salenko, who set a FIFA World Cup record by scoring five goals in a single match.
 E972881 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: Salenko | Statement: [Oleg Salenko, familyName, Salenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salenko
Context triple: [Oleg Salenko, familyName, Salenko]
  • A. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • B. Sekulovich
    Sekulovich is the original Serbian family surname of American actor Karl Malden, reflecting his ethnic heritage.
  • C. Kovpak
    Kovpak is a Ukrainian surname most notably associated with Sydir Kovpak, a famed Soviet partisan leader during World War II.
  • D. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • E. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • 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: Salenko
Triple: [Oleg Salenko, familyName, Salenko]
Generated description
Salenko is a Slavic surname most notably associated with former Russian footballer Oleg Salenko, who set a FIFA World Cup record by scoring five goals in a single match.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salenko
Target entity description: Salenko is a Slavic surname most notably associated with former Russian footballer Oleg Salenko, who set a FIFA World Cup record by scoring five goals in a single match.
  • A. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • B. Sekulovich
    Sekulovich is the original Serbian family surname of American actor Karl Malden, reflecting his ethnic heritage.
  • C. Kovpak
    Kovpak is a Ukrainian surname most notably associated with Sydir Kovpak, a famed Soviet partisan leader during World War II.
  • D. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • E. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abfc8588190ab9300c6e5e59092 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f61a13fd1481908a06ca65b276e0e1 completed May 2, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69f61ad2bd0c8190ada37bc1f8ae160f completed May 2, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:52 p.m.