Triple

T2097586
Position Surface form Disambiguated ID Type / Status
Subject Ondrej Warhola E37016 entity
Predicate hasGivenName P17 FINISHED
Object Ondrej
Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
E236853 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: Ondrej | Statement: [Ondrej Warhola, hasGivenName, Ondrej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ondrej
Context triple: [Ondrej Warhola, hasGivenName, Ondrej]
  • A. Jaromír
    Jaromír is a masculine given name of Slavic origin, most famously borne by Czech ice hockey legend Jaromír Jágr.
  • B. Andrej
    Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • C. Zdeno
    Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
  • D. Andrej Hlinka
    Andrej Hlinka was a Slovak Catholic priest and nationalist politician who became a leading figure in the Slovak autonomy movement in the early 20th century.
  • E. Martin Procházka
    Martin Procházka is a Czech former professional ice hockey forward known for his international success with the Czech national team and a lengthy career in European leagues and the NHL.
  • 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: Ondrej
Triple: [Ondrej Warhola, hasGivenName, Ondrej]
Generated description
Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ondrej
Target entity description: Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
  • A. Jaromír
    Jaromír is a masculine given name of Slavic origin, most famously borne by Czech ice hockey legend Jaromír Jágr.
  • B. Andrej
    Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • C. Zdeno
    Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
  • D. Andrej Hlinka
    Andrej Hlinka was a Slovak Catholic priest and nationalist politician who became a leading figure in the Slovak autonomy movement in the early 20th century.
  • E. Martin Procházka
    Martin Procházka is a Czech former professional ice hockey forward known for his international success with the Czech national team and a lengthy career in European leagues and the NHL.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9cb84481909fe0a66c020b8864 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518d29d4819090aa2a1c6fc7304d completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:43 p.m.