Triple
T9412569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | František Kupka |
E226738
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kupka
Kupka is a Czech surname most notably associated with František Kupka, a pioneering abstract painter and graphic artist.
|
E797437
|
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: Kupka | Statement: [František Kupka, familyName, Kupka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kupka Context triple: [František Kupka, familyName, Kupka]
-
A.
Kienbaum
Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
-
B.
Buksa
Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
-
C.
Vyronas
Vyronas is a suburban municipality of Athens, Greece, known for its residential character and proximity to the city center.
-
D.
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
E.
Kapp
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
- 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: Kupka Triple: [František Kupka, familyName, Kupka]
Generated description
Kupka is a Czech surname most notably associated with František Kupka, a pioneering abstract painter and graphic artist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kupka Target entity description: Kupka is a Czech surname most notably associated with František Kupka, a pioneering abstract painter and graphic artist.
-
A.
Kienbaum
Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
-
B.
Buksa
Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
-
C.
Vyronas
Vyronas is a suburban municipality of Athens, Greece, known for its residential character and proximity to the city center.
-
D.
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
E.
Kapp
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5258f7e081908d48600409181fdb |
completed | April 1, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b0f9648190894a4cd13d7e5fb5 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108466fb481909682fcaac354b312 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.