Triple
T17726191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazimierz Badeni |
E442466
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Badeni
Badeni is a Polish surname most notably associated with Kazimierz Badeni, a prominent Austro-Hungarian statesman and former Minister-President of Austria.
|
E1284191
|
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: Badeni | Statement: [Kazimierz Badeni, familyName, Badeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badeni Context triple: [Kazimierz Badeni, familyName, Badeni]
-
A.
Embrach
Embrach is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
-
B.
Brigach
Brigach is a river in Germany that forms one of the two headstreams of the Danube.
-
C.
Bettola
Bettola is a small Italian town in the Emilia-Romagna region, known for its scenic Apennine setting and traditional rural character.
-
D.
Gosau
Gosau is a picturesque alpine village in Austria’s Salzkammergut region, known for its dramatic mountain scenery, traditional rural character, and proximity to the Dachstein massif.
-
E.
Samedan
Samedan is a Swiss alpine town in the Upper Engadine region of the canton of Graubünden, known for its role as a transport hub and its proximity to major ski and tourist destinations.
- 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: Badeni Triple: [Kazimierz Badeni, familyName, Badeni]
Generated description
Badeni is a Polish surname most notably associated with Kazimierz Badeni, a prominent Austro-Hungarian statesman and former Minister-President of Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Badeni Target entity description: Badeni is a Polish surname most notably associated with Kazimierz Badeni, a prominent Austro-Hungarian statesman and former Minister-President of Austria.
-
A.
Embrach
Embrach is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
-
B.
Brigach
Brigach is a river in Germany that forms one of the two headstreams of the Danube.
-
C.
Bettola
Bettola is a small Italian town in the Emilia-Romagna region, known for its scenic Apennine setting and traditional rural character.
-
D.
Gosau
Gosau is a picturesque alpine village in Austria’s Salzkammergut region, known for its dramatic mountain scenery, traditional rural character, and proximity to the Dachstein massif.
-
E.
Samedan
Samedan is a Swiss alpine town in the Upper Engadine region of the canton of Graubünden, known for its role as a transport hub and its proximity to major ski and tourist destinations.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e25a80819096289fba4ecb227f |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0230324c0881909ba7b299f16b5602 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0231f02cf48190ac513a7d218aca3b |
completed | May 11, 2026, 7:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0233cfe9388190a7786d88a432aa1f |
completed | May 11, 2026, 7:53 p.m. |
Created at: April 10, 2026, 10:07 a.m.