Triple
T16626056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoni Rudolf Bazyli Colonna-Walewski |
E403947
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Bazyli
Bazyli is a masculine given name of Slavic origin, commonly used in Poland and related to the name Basil.
|
E1224739
|
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: Bazyli | Statement: [Antoni Rudolf Bazyli Colonna-Walewski, givenName, Bazyli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bazyli Context triple: [Antoni Rudolf Bazyli Colonna-Walewski, givenName, Bazyli]
-
A.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
B.
Wacław
Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
-
C.
Bielecki
Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
-
D.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
E.
Bytom Odrzański
Bytom Odrzański is a historic town in western Poland on the Oder River, known for its medieval origins and well-preserved old town.
- 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: Bazyli Triple: [Antoni Rudolf Bazyli Colonna-Walewski, givenName, Bazyli]
Generated description
Bazyli is a masculine given name of Slavic origin, commonly used in Poland and related to the name Basil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bazyli Target entity description: Bazyli is a masculine given name of Slavic origin, commonly used in Poland and related to the name Basil.
-
A.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
B.
Wacław
Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
-
C.
Bielecki
Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
-
D.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
E.
Bytom Odrzański
Bytom Odrzański is a historic town in western Poland on the Oder River, known for its medieval origins and well-preserved old town.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e375530ed081908337dc5c6360d733 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dba91bc819090a78ac4c0c01fc8 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e747eac81908b0b5a2072a177dd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.