Triple
T9412368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanisław Wyspiański |
E226734
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Warszawianka
"Warszawianka" is a renowned patriotic drama by Polish playwright Stanisław Wyspiański, centered on themes of national struggle and sacrifice.
|
E797407
|
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: Warszawianka | Statement: [Stanisław Wyspiański, notableWork, Warszawianka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warszawianka Context triple: [Stanisław Wyspiański, notableWork, Warszawianka]
-
A.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
B.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
C.
Magurka Radziechowska
Magurka Radziechowska is a mountain peak in the Silesian Beskids range of southern Poland, popular for hiking and scenic views.
-
D.
Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
E.
Hanna Zdanowska
Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
- 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: Warszawianka Triple: [Stanisław Wyspiański, notableWork, Warszawianka]
Generated description
"Warszawianka" is a renowned patriotic drama by Polish playwright Stanisław Wyspiański, centered on themes of national struggle and sacrifice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warszawianka Target entity description: "Warszawianka" is a renowned patriotic drama by Polish playwright Stanisław Wyspiański, centered on themes of national struggle and sacrifice.
-
A.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
B.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
C.
Magurka Radziechowska
Magurka Radziechowska is a mountain peak in the Silesian Beskids range of southern Poland, popular for hiking and scenic views.
-
D.
Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
E.
Hanna Zdanowska
Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
- 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_69d107b0f9648190894a4cd13d7e5fb5 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108466fb481909682fcaac354b312 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.