Triple
T4857705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksandra Dulkiewicz |
E108576
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Aleksandra Dulkiewicz |
E108576
|
NE FINISHED |
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: Aleksandra Dulkiewicz | Statement: [Aleksandra Dulkiewicz, name, Aleksandra Dulkiewicz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aleksandra Dulkiewicz Context triple: [Aleksandra Dulkiewicz, name, Aleksandra Dulkiewicz]
-
A.
Aleksandra Dulkiewicz
chosen
Aleksandra Dulkiewicz is a Polish lawyer and politician who serves as the mayor of Gdańsk, known for her pro-European stance and advocacy of democratic values.
-
B.
Agata Kornhauser-Duda
Agata Kornhauser-Duda is a Polish teacher and the First Lady of Poland, known for her role as the wife of President Andrzej Duda.
-
C.
Maria Jankowska
Maria Jankowska was a Polish political activist known for her pioneering role in the early socialist movement in Poland.
-
D.
Ewelina Hańska
Ewelina Hańska was a Polish noblewoman best known as the longtime correspondent, muse, and eventually wife of French novelist Honoré de Balzac.
-
E.
Monika Lenczewska
Monika Lenczewska is a Polish cinematographer known for her visually striking work on international films and television projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3f24688190b2f2b79bcde96973 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67dd3df4819092a59dfb85d10683 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:26 p.m.