Triple
T17071800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lesinski Jr. |
E414239
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lesinski
Lesinski is a Polish-origin surname notably borne by several American politicians, including members of the Lesinski family who served in the U.S. Congress.
|
E1249474
|
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: Lesinski | Statement: [John Lesinski Jr., familyName, Lesinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesinski Context triple: [John Lesinski Jr., familyName, Lesinski]
-
A.
Grodzinski
Grodzinski is a Jewish surname most prominently associated with the influential Lithuanian rabbi and halachic authority Chaim Ozer Grodzinski.
-
B.
Limanowski
Limanowski is a Polish surname most notably associated with Bolesław Limanowski, a prominent socialist activist and historian.
-
C.
Wasilewski
Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
-
D.
Lipiński
Lipiński is a Polish surname borne by various notable figures in fields such as music, sports, and science.
-
E.
Lorkowski
Lorkowski is a surname of likely Polish origin borne by individuals such as Joe Lorkowski.
- 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: Lesinski Triple: [John Lesinski Jr., familyName, Lesinski]
Generated description
Lesinski is a Polish-origin surname notably borne by several American politicians, including members of the Lesinski family who served in the U.S. Congress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lesinski Target entity description: Lesinski is a Polish-origin surname notably borne by several American politicians, including members of the Lesinski family who served in the U.S. Congress.
-
A.
Grodzinski
Grodzinski is a Jewish surname most prominently associated with the influential Lithuanian rabbi and halachic authority Chaim Ozer Grodzinski.
-
B.
Limanowski
Limanowski is a Polish surname most notably associated with Bolesław Limanowski, a prominent socialist activist and historian.
-
C.
Wasilewski
Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
-
D.
Lipiński
Lipiński is a Polish surname borne by various notable figures in fields such as music, sports, and science.
-
E.
Lorkowski
Lorkowski is a surname of likely Polish origin borne by individuals such as Joe Lorkowski.
- 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_69e3dbc1b7d48190979a848b4188cb22 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edbce988190a784448ba8a258a5 |
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.