Triple

T15127863
Position Surface form Disambiguated ID Type / Status
Subject Jaroslav Hašek E361337 entity
Predicate spouse P13 FINISHED
Object Jarmila Mayerová
Jarmila Mayerová was the wife of Czech writer Jaroslav Hašek, best known as the author of "The Good Soldier Švejk."
E1138722 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: Jarmila Mayerová | Statement: [Jaroslav Hašek, spouse, Jarmila Mayerová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarmila Mayerová
Context triple: [Jaroslav Hašek, spouse, Jarmila Mayerová]
  • A. Milada Ježková
    Milada Ježková was a Czech film and theatre actress known for her character roles in mid-20th-century Czechoslovak cinema.
  • B. Jarmila Kratochvílová
    Jarmila Kratochvílová is a former Czechoslovak middle-distance runner best known for setting the still-standing women's 800 metres world record in 1983.
  • C. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • D. Selma Ježková
    Selma Ježková is the tragic, near-blind Czech immigrant and factory worker portrayed by Björk in Lars von Trier’s musical drama film "Dancer in the Dark."
  • E. Dagmar Pecková
    Dagmar Pecková is a renowned Czech mezzo-soprano opera singer known for her performances on major European stages and her interpretations of both classical and contemporary repertoire.
  • 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: Jarmila Mayerová
Triple: [Jaroslav Hašek, spouse, Jarmila Mayerová]
Generated description
Jarmila Mayerová was the wife of Czech writer Jaroslav Hašek, best known as the author of "The Good Soldier Švejk."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jarmila Mayerová
Target entity description: Jarmila Mayerová was the wife of Czech writer Jaroslav Hašek, best known as the author of "The Good Soldier Švejk."
  • A. Milada Ježková
    Milada Ježková was a Czech film and theatre actress known for her character roles in mid-20th-century Czechoslovak cinema.
  • B. Jarmila Kratochvílová
    Jarmila Kratochvílová is a former Czechoslovak middle-distance runner best known for setting the still-standing women's 800 metres world record in 1983.
  • C. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • D. Selma Ježková
    Selma Ježková is the tragic, near-blind Czech immigrant and factory worker portrayed by Björk in Lars von Trier’s musical drama film "Dancer in the Dark."
  • E. Dagmar Pecková
    Dagmar Pecková is a renowned Czech mezzo-soprano opera singer known for her performances on major European stages and her interpretations of both classical and contemporary repertoire.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f865c08190ab8fd15c14d0c06c completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feba6899c481909651fec7459a0206 completed May 9, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69febae016188190bb44709a8c3b01c3 completed May 9, 2026, 4:41 a.m.
Created at: April 10, 2026, 3:06 a.m.