Triple
T3989352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Walewska |
E86949
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
|
E405995
|
NE FINISHED |
How this triple was built (4 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: Walewska | Statement: [Maria Walewska, familyName, Walewska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walewska Context triple: [Maria Walewska, familyName, Walewska]
-
A.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
B.
Ewelina
Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
-
C.
Ewelina Hańska
Ewelina Hańska was a Polish noblewoman best known as the longtime correspondent, muse, and eventually wife of French novelist Honoré de Balzac.
-
D.
Anna Maria Komorowska
Anna Maria Komorowska is a Polish-born aristocrat best known as the mother of Queen Mathilde of Belgium.
-
E.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Walewska Triple: [Maria Walewska, familyName, Walewska]
Generated description
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walewska Target entity description: Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
A.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
B.
Ewelina
Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
-
C.
Ewelina Hańska
Ewelina Hańska was a Polish noblewoman best known as the longtime correspondent, muse, and eventually wife of French novelist Honoré de Balzac.
-
D.
Anna Maria Komorowska
Anna Maria Komorowska is a Polish-born aristocrat best known as the mother of Queen Mathilde of Belgium.
-
E.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
- F. None of above. chosen
Provenance (5 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa007344819099515fda367f7016 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c4d0f348190841fe13bff0fef00 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54d313ebc8190b2d0df73a32152c2 |
completed | March 14, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54dc63c5481909a10c51647246857 |
completed | March 14, 2026, noon |
Created at: March 9, 2026, 3:33 p.m.