Triple

T5358270
Position Surface form Disambiguated ID Type / Status
Subject Ondrej Nepela E102755 entity
Predicate familyName P18 FINISHED
Object Nepela
Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
 E514306 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: Nepela | Statement: [Ondrej Nepela, familyName, Nepela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nepela
Context triple: [Ondrej Nepela, familyName, Nepela]
  • A. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • B. Kasha Kropinski
    Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
  • C. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • D. Ulanova
    Ulanova is a Russian surname most famously associated with Galina Ulanova, one of the greatest ballerinas of the 20th century.
  • E. Oksana
    Oksana is a feminine given name of Ukrainian origin, most famously borne by Olympic champion figure skater Oksana Baiul.
  • 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: Nepela
Triple: [Ondrej Nepela, familyName, Nepela]
Generated description
Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nepela
Target entity description: Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
  • A. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • B. Kasha Kropinski
    Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
  • C. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • D. Ulanova
    Ulanova is a Russian surname most famously associated with Galina Ulanova, one of the greatest ballerinas of the 20th century.
  • E. Oksana
    Oksana is a feminine given name of Ukrainian origin, most famously borne by Olympic champion figure skater Oksana Baiul.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8631ca2c8190856258bf340f6e5d completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e6762481909278935a4eeee177 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf228956d481909e9f3c11f4597cce completed March 21, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69bf230b571481909f76ada72d94c8d8 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:02 p.m.