Triple
T16687083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Prądzyński |
E405490
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Prądzyński
Prądzyński is a Polish surname most notably associated with Ignacy Prądzyński, a 19th-century Polish general and military strategist.
|
E1228647
|
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: Prądzyński | Statement: [Ignacy Prądzyński, familyName, Prądzyński]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prądzyński Context triple: [Ignacy Prądzyński, familyName, Prądzyński]
-
A.
Niedziałkowski
Niedziałkowski is a Polish surname most notably borne by Mieczysław Niedziałkowski, a prominent interwar socialist politician and publicist.
-
B.
Żółkiewski
Żółkiewski is a Polish noble surname most famously associated with the hetman and statesman Stanisław Żółkiewski of the Polish–Lithuanian Commonwealth.
-
C.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
D.
Żymierski
Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
-
E.
Żeleński
Żeleński is a Polish surname most notably associated with Tadeusz Boy-Żeleński, a prominent writer, critic, and translator of French literature.
- 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: Prądzyński Triple: [Ignacy Prądzyński, familyName, Prądzyński]
Generated description
Prądzyński is a Polish surname most notably associated with Ignacy Prądzyński, a 19th-century Polish general and military strategist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prądzyński Target entity description: Prądzyński is a Polish surname most notably associated with Ignacy Prądzyński, a 19th-century Polish general and military strategist.
-
A.
Niedziałkowski
Niedziałkowski is a Polish surname most notably borne by Mieczysław Niedziałkowski, a prominent interwar socialist politician and publicist.
-
B.
Żółkiewski
Żółkiewski is a Polish noble surname most famously associated with the hetman and statesman Stanisław Żółkiewski of the Polish–Lithuanian Commonwealth.
-
C.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
D.
Żymierski
Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
-
E.
Żeleński
Żeleński is a Polish surname most notably associated with Tadeusz Boy-Żeleński, a prominent writer, critic, and translator of French literature.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea63b7081908a055036172f9683 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091966fbc81908cd1db230ddbb82b |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00920dd72c8190b30d4edd779e7029 |
completed | May 10, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0092e322d08190862ae42a28c9e5cf |
completed | May 10, 2026, 2:14 p.m. |
Created at: April 10, 2026, 5:19 a.m.