Triple

T9412568
Position Surface form Disambiguated ID Type / Status
Subject František Kupka E226738 entity
Predicate givenName P17 FINISHED
Object František
František is a masculine given name of Czech and Slovak origin, equivalent to Francis in English.
 E799572 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: František | Statement: [František Kupka, givenName, František]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: František
Context triple: [František Kupka, givenName, František]
  • A. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • B. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. Oldřich
    Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
  • D. Ludvík
    Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
  • E. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • 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: František
Triple: [František Kupka, givenName, František]
Generated description
František is a masculine given name of Czech and Slovak origin, equivalent to Francis in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: František
Target entity description: František is a masculine given name of Czech and Slovak origin, equivalent to Francis in English.
  • A. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • B. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. Oldřich
    Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
  • D. Ludvík
    Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
  • E. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5258f7e081908d48600409181fdb completed April 1, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11026b8688190b958ca65dae2d588 completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d1120d29f881908c03fe9d6dbdafe4 completed April 4, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:47 p.m.