Triple
T13109088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alicja Bachleda-Curuś |
E310923
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alicja |
E640110
|
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: Alicja | Statement: [Alicja Bachleda-Curuś, givenName, Alicja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alicja Context triple: [Alicja Bachleda-Curuś, givenName, Alicja]
-
A.
Agnieszka
Agnieszka is a Polish feminine given name, commonly regarded as the Polish form of Agnes.
-
B.
Alis
chosen
Alis is a given name that can function as a variant of Alice or a distinct personal name in various cultures.
-
C.
Marysieńka
Marysieńka is the affectionate Polish nickname of Marie Casimire Louise de La Grange d’Arquien, the French-born queen consort of King John III Sobieski of Poland.
-
D.
Henryka
Henryka is a Polish feminine given name derived from the male name Henryk.
-
E.
Sylwia
Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.