Triple
T19900385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewa Kopacz |
E478268
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ewa Kopacz |
—
|
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: Ewa Kopacz | Statement: [Ewa Kopacz, name, Ewa Kopacz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewa Kopacz Context triple: [Ewa Kopacz, name, Ewa Kopacz]
-
A.
Ewa Kopacz
chosen
Ewa Kopacz is a Polish politician and physician who served as Prime Minister of Poland and leader of the Civic Platform party.
-
B.
Beata Szydło
Beata Szydło is a Polish politician who served as Prime Minister of Poland from 2015 to 2017.
-
C.
Michał Komorowski
Michał Komorowski is a notable member of the Polish noble Komorowski family, historically influential in Poland’s aristocratic and political life.
-
D.
Małgorzata Duda
Małgorzata Duda is a Polish luger who competed internationally in the 1990s, including at the Winter Olympic Games.
-
E.
Małgorzata Tusk
Małgorzata Tusk is the wife of Polish politician and former European Council President Donald Tusk, known primarily for her low public profile despite her husband's prominent political career.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65940cf8c8190b74e51635410e48a |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.