Triple

T9214859
Position Surface form Disambiguated ID Type / Status
Subject Josef Koudelka E221216 entity
Predicate familyName P18 FINISHED
Object Koudelka
Koudelka is a Czech surname most prominently associated with Josef Koudelka, the renowned photographer known for his powerful black-and-white images documenting Roma communities and political upheaval.
 E785543 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: Koudelka | Statement: [Josef Koudelka, familyName, Koudelka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koudelka
Context triple: [Josef Koudelka, familyName, Koudelka]
  • A. Kája
    Kája is a Czech diminutive form of the given name Karel.
  • B. Bechyně
    Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
  • C. Frunze
    Frunze is a surname most notably associated with Mikhail Frunze, a prominent Bolshevik leader and Red Army commander during the Russian Civil War.
  • D. Husák
    Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
  • E. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • 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: Koudelka
Triple: [Josef Koudelka, familyName, Koudelka]
Generated description
Koudelka is a Czech surname most prominently associated with Josef Koudelka, the renowned photographer known for his powerful black-and-white images documenting Roma communities and political upheaval.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koudelka
Target entity description: Koudelka is a Czech surname most prominently associated with Josef Koudelka, the renowned photographer known for his powerful black-and-white images documenting Roma communities and political upheaval.
  • A. Kája
    Kája is a Czech diminutive form of the given name Karel.
  • B. Bechyně
    Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
  • C. Frunze
    Frunze is a surname most notably associated with Mikhail Frunze, a prominent Bolshevik leader and Red Army commander during the Russian Civil War.
  • D. Husák
    Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
  • E. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0830a8819096a186ed2e976cba completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0661c4c2c8190bc5be991a3a75f2b completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d0678b89ac8190b807e1c3b457a503 completed April 4, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0688d4c388190bb024b03cc86d08f completed April 4, 2026, 1:25 a.m.
Created at: March 30, 2026, 7:27 p.m.