Triple
T20830864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonín Dvořák |
E512821
|
entity |
| Predicate | teacherOf |
P48
|
FINISHED |
| Object | Josefina Čermáková |
—
|
NE NERFINISHED |
How this triple was built (2 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: Josefina Čermáková | Statement: [Antonín Dvořák, teacherOf, Josefina Čermáková]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josefina Čermáková Context triple: [Antonín Dvořák, teacherOf, Josefina Čermáková]
-
A.
Josefina Čermáková
chosen
Josefina Čermáková is a Czech individual known primarily in relation to her sister, Anna Čermáková.
-
B.
Zdenka Janáčková
Zdenka Janáčková was the wife of Czech composer Leoš Janáček, known primarily for her connection to his personal and artistic life.
-
C.
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.
-
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.
Jarmila Mayerová
Jarmila Mayerová was the wife of Czech writer Jaroslav Hašek, best known as the author of "The Good Soldier Švejk."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32177188190ad67572cb3b5db74 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.