Triple

T10144119
Position Surface form Disambiguated ID Type / Status
Subject Pavel Kohout E231659 entity
Predicate familyName P18 FINISHED
Object Kohout
Kohout is a Czech surname borne by various notable individuals in fields such as literature, economics, and sports.
 E844697 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: Kohout | Statement: [Pavel Kohout, familyName, Kohout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kohout
Context triple: [Pavel Kohout, familyName, Kohout]
  • A. Kopechne
    Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
  • B. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • E. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • 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: Kohout
Triple: [Pavel Kohout, familyName, Kohout]
Generated description
Kohout is a Czech surname borne by various notable individuals in fields such as literature, economics, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kohout
Target entity description: Kohout is a Czech surname borne by various notable individuals in fields such as literature, economics, and sports.
  • A. Kopechne
    Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
  • B. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • E. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb28a1708190b46499dbe51a694a completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e618b0bc8190bc1d6f15dac2708e completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e866cc4881909b5f4d1502a69885 completed April 5, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69d2e91061248190a7f9022c26daba0e completed April 5, 2026, 10:58 p.m.
Created at: March 30, 2026, 9:07 p.m.