Triple
T3989351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Walewska |
E86949
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Łączyńska
Łączyńska is the Polish maiden surname of Maria Walewska, a noblewoman known as a mistress of Napoleon Bonaparte.
|
E403944
|
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: Łączyńska | Statement: [Maria Walewska, familyName, Łączyńska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łączyńska Context triple: [Maria Walewska, familyName, Łączyńska]
-
A.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
B.
Oleśnica
Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
C.
Radziejowa
Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
-
D.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
E.
Podgórze
Podgórze is a district of Kraków, Poland, historically known for its Jewish ghetto during World War II and its proximity to the former Płaszów concentration camp.
- 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: Łączyńska Triple: [Maria Walewska, familyName, Łączyńska]
Generated description
Łączyńska is the Polish maiden surname of Maria Walewska, a noblewoman known as a mistress of Napoleon Bonaparte.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Łączyńska Target entity description: Łączyńska is the Polish maiden surname of Maria Walewska, a noblewoman known as a mistress of Napoleon Bonaparte.
-
A.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
B.
Oleśnica
Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
C.
Radziejowa
Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
-
D.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
E.
Podgórze
Podgórze is a district of Kraków, Poland, historically known for its Jewish ghetto during World War II and its proximity to the former Płaszów concentration camp.
- 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_69b5403235408190b47b8d4f4e21d094 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b540c5ab7881908b7ebb0af2f9da46 |
completed | March 14, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5415e002881908343ae30b2f8a16c |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:33 p.m.