Triple
T3136520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewelina Hańska |
E65542
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ewelina
Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
|
E328935
|
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: Ewelina | Statement: [Ewelina Hańska, givenName, Ewelina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewelina Context triple: [Ewelina Hańska, givenName, Ewelina]
-
A.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
B.
Nowra
Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
-
C.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
D.
Sylwia
Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
-
E.
Magdalena
Magdalena is the given first name of Swedish opera singer and environmental activist Malena Ernman.
- 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: Ewelina Triple: [Ewelina Hańska, givenName, Ewelina]
Generated description
Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ewelina Target entity description: Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
-
A.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
B.
Nowra
Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
-
C.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
D.
Sylwia
Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
-
E.
Magdalena
Magdalena is the given first name of Swedish opera singer and environmental activist Malena Ernman.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada564eacc8190a54d07b4eb31c196 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f8793488190aa31040edaf1d627 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2103d83688190b107ecbacac604c1 |
completed | March 12, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b210a290088190aaa10a015519e1de |
completed | March 12, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:05 p.m.