Triple
T3989349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Walewska |
E86949
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maria Walewska |
E86949
|
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: Maria Walewska | Statement: [Maria Walewska, name, Maria Walewska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Walewska Context triple: [Maria Walewska, name, Maria Walewska]
-
A.
Maria Walewska
chosen
Maria Walewska was a Polish noblewoman best known as a mistress of Napoleon Bonaparte and a symbol of Polish hopes for independence during the Napoleonic era.
-
B.
Wanda Wasilewska
Wanda Wasilewska was a Polish and Soviet communist activist, writer, and politician known for her influential role in pro-Soviet Polish politics during and after World War II.
-
C.
Maria Wojciechowska
Maria Wojciechowska was the wife of Polish President Stanisław Wojciechowski and served as First Lady of Poland in the early 1920s.
-
D.
Anna Maria Komorowska
Anna Maria Komorowska is a Polish-born aristocrat best known as the mother of Queen Mathilde of Belgium.
-
E.
Helena Modrzejewska
Helena Modrzejewska was a renowned 19th-century Polish stage actress celebrated for her Shakespearean roles and influential career in both Poland and the United States.
- 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_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. |
Created at: March 9, 2026, 3:33 p.m.