Triple
T19197582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szydło |
E470011
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Beata Szydło |
—
|
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: Beata Szydło | Statement: [Szydło, hasNotableBearer, Beata Szydło]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beata Szydło Context triple: [Szydło, hasNotableBearer, Beata Szydło]
-
A.
Beata Szydło
chosen
Beata Szydło is a Polish politician who served as Prime Minister of Poland from 2015 to 2017.
-
B.
Ewa Kopacz
Ewa Kopacz is a Polish politician and physician who served as Prime Minister of Poland and leader of the Civic Platform party.
-
C.
Mateusz Morawiecki
Mateusz Morawiecki is a Polish economist and politician who has served as the Prime Minister of Poland.
-
D.
Edward Szydło
Edward Szydło is a Polish figure best known as the husband of former Polish Prime Minister Beata Szydło.
-
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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a695cc8190b84a220f52c51dfc |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.