Triple
T10343869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Tarnowski |
E243691
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tarnowski
Tarnowski is a Polish surname historically associated with several notable figures in Polish nobility, politics, and culture.
|
E858380
|
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: Tarnowski | Statement: [Adam Tarnowski, familyName, Tarnowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarnowski Context triple: [Adam Tarnowski, familyName, Tarnowski]
-
A.
Poniatowa
Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
-
B.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
E.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
- 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: Tarnowski Triple: [Adam Tarnowski, familyName, Tarnowski]
Generated description
Tarnowski is a Polish surname historically associated with several notable figures in Polish nobility, politics, and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarnowski Target entity description: Tarnowski is a Polish surname historically associated with several notable figures in Polish nobility, politics, and culture.
-
A.
Poniatowa
Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
-
B.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
E.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e92105888190a08104deb9d0cf1c |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75077dfbc81908de29aac1a3bb19f |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d7618c9abc819080c4d6669dfb8320 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7702ae24481908b0f5319413e81d4 |
completed | April 9, 2026, 9:23 a.m. |
Created at: April 6, 2026, 11:55 a.m.