Triple
T21288884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michał Żebrowski |
E524734
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Na dobre i na złe (TV series) |
—
|
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 (TV series) | Statement: [Michał Żebrowski, notableWork, Na dobre i na złe (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Na dobre i na złe (TV series) Context triple: [Michał Żebrowski, notableWork, Na dobre i na złe (TV series)]
-
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.
Nałęczowianka
Nałęczowianka is a popular Polish brand of bottled mineral water sourced from the spa town of Nałęczów.
-
C.
Soleczniki
Soleczniki is a town in southeastern Lithuania, known as the administrative center of the Šalčininkai District Municipality near the Polish border.
-
D.
Dobra
Dobra is a river in central Croatia known for flowing through Karlovac County and contributing to the region’s karst landscape and hydropower resources.
-
E.
Dobrota
Dobrota is a coastal town in Montenegro known for its historic stone houses and scenic waterfront along the Bay of Kotor.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d882408190a2300327cb73b7f6 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.