Triple
T22503249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danuta Stenka |
E556326
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Na dobre i na złe |
—
|
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: Na dobre i na złe | Statement: [Danuta Stenka, notableWork, Na dobre i na złe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Na dobre i na złe Context triple: [Danuta Stenka, notableWork, Na dobre i na złe]
-
A.
Na dobre i na złe
chosen
Na dobre i na złe is a long-running Polish medical drama television series centered on the professional and personal lives of doctors and staff at a fictional hospital.
-
B.
Better and Worse
"Better and Worse" is a song by the band On Purpose.
-
C.
Pogórzanie
Pogórzanie are an ethnographic group of Polish highlanders known for their distinct folk culture, dialect, and traditions in the foothill regions of southern Poland.
-
D.
Łubnie
Łubnie is a historic town in present-day Ukraine, known as a former stronghold of the Polish–Lithuanian magnate Wiśniowiecki family.
-
E.
Good and Evil
Good and Evil is a philosophical work by Martin Buber that explores the nature of morality, human freedom, and the ethical dimensions of good and evil in human relationships.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5a01888190ba65a05616b63cbe |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.