Triple
T20366647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewa Demarczyk |
E496927
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ewa Demarczyk |
—
|
NE NERFINISHED |
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: Ewa Demarczyk | Statement: [Ewa Demarczyk, name, Ewa Demarczyk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewa Demarczyk Context triple: [Ewa Demarczyk, name, Ewa Demarczyk]
-
A.
Ewa Demarczyk
chosen
Ewa Demarczyk was a renowned Polish singer and actress, celebrated for her dramatic interpretations of poetic songs and her leading role in the Polish sung poetry movement.
-
B.
Ewa Nowak
Ewa Nowak is a Polish author best known for her contemporary young adult and children's literature that often explores psychological and social issues.
-
C.
Ewa Lipska
Ewa Lipska is a prominent Polish poet and lyricist associated with the postwar generation, known for her ironic, intellectually sharp reflections on contemporary reality.
-
D.
Ewa Cybulska
Ewa Cybulska is the Polish immigrant protagonist of the 2013 period drama film "The Immigrant," portrayed by Marion Cotillard.
-
E.
Jolanta Kwaśniewska
Jolanta Kwaśniewska is a Polish lawyer, charity activist, and former First Lady of Poland known for her social and philanthropic work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67871bfdc8190948c46497cd675c9 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.