Triple
T16999369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Pieńkowski |
E412399
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pieńkowski
Pieńkowski is a Polish surname borne by various notable figures in fields such as science, politics, and the arts.
|
E1245197
|
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: Pieńkowski | Statement: [Ignacy Pieńkowski, familyName, Pieńkowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pieńkowski Context triple: [Ignacy Pieńkowski, familyName, Pieńkowski]
-
A.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
B.
Prądzyński
Prądzyński is a Polish surname most notably associated with Ignacy Prądzyński, a 19th-century Polish general and military strategist.
-
C.
Niedziałkowski
Niedziałkowski is a Polish surname most notably borne by Mieczysław Niedziałkowski, a prominent interwar socialist politician and publicist.
-
D.
Wojciechowski
Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
-
E.
Skrzyński
Skrzyński is a Polish surname most notably associated with Aleksander Skrzyński, a prominent early 20th-century Polish politician and diplomat.
- 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: Pieńkowski Triple: [Ignacy Pieńkowski, familyName, Pieńkowski]
Generated description
Pieńkowski is a Polish surname borne by various notable figures in fields such as science, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pieńkowski Target entity description: Pieńkowski is a Polish surname borne by various notable figures in fields such as science, politics, and the arts.
-
A.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
B.
Prądzyński
Prądzyński is a Polish surname most notably associated with Ignacy Prądzyński, a 19th-century Polish general and military strategist.
-
C.
Niedziałkowski
Niedziałkowski is a Polish surname most notably borne by Mieczysław Niedziałkowski, a prominent interwar socialist politician and publicist.
-
D.
Wojciechowski
Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
-
E.
Skrzyński
Skrzyński is a Polish surname most notably associated with Aleksander Skrzyński, a prominent early 20th-century Polish politician and diplomat.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37cd6248190a7202ae754882640 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1ac518819093fac61b5598d730 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.