Triple
T17073769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Machowski |
E414293
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Machowski
Machowski is a Polish surname borne by various individuals, including figures in the arts and public life.
|
E1249568
|
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: Machowski | Statement: [Ignacy Machowski, familyName, Machowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machowski Context triple: [Ignacy Machowski, familyName, Machowski]
-
A.
Majkowski
Majkowski is a Polish surname most notably borne by Aleksander Majkowski, a prominent Kashubian writer and activist.
-
B.
Majchrowski
Majchrowski is a Polish surname most notably borne by Jacek Majchrowski, a long-serving mayor of Kraków and prominent political figure.
-
C.
Wojciechowski
Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
-
D.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
E.
Kaczmarek
Kaczmarek is a Polish surname borne by various notable individuals in fields such as acting, music, and sports.
- 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: Machowski Triple: [Ignacy Machowski, familyName, Machowski]
Generated description
Machowski is a Polish surname borne by various individuals, including figures in the arts and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machowski Target entity description: Machowski is a Polish surname borne by various individuals, including figures in the arts and public life.
-
A.
Majkowski
Majkowski is a Polish surname most notably borne by Aleksander Majkowski, a prominent Kashubian writer and activist.
-
B.
Majchrowski
Majchrowski is a Polish surname most notably borne by Jacek Majchrowski, a long-serving mayor of Kraków and prominent political figure.
-
C.
Wojciechowski
Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
-
D.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
E.
Kaczmarek
Kaczmarek is a Polish surname borne by various notable individuals in fields such as acting, music, and sports.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc3b69c819093b32da3998eed46 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ede108881909ddd0455be53ffac |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012fe2a1b081909483baef845cc2c1 |
completed | May 11, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130c2ad9881909d8a8b64ebb59aa6 |
completed | May 11, 2026, 1:28 a.m. |
Created at: April 10, 2026, 5:34 a.m.