Triple
T14366883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimír Růžička |
E356257
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Růžička
Růžička is a Czech surname borne by various notable figures in fields such as sports, science, and the arts.
|
E1095129
|
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: Růžička | Statement: [Vladimír Růžička, familyName, Růžička]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Růžička Context triple: [Vladimír Růžička, familyName, Růžička]
-
A.
Srdiečko
Srdiečko is a mountain area and ski resort base in the Low Tatras of Slovakia, serving as an access point to the Chopok ski region.
-
B.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
C.
Zedka
Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
-
D.
Tri Studničky
Tri Studničky is a trailhead and mountain area in the High Tatras of Slovakia, known as a popular starting point for hikes up Kriváň.
-
E.
Malý Rozsutec
Malý Rozsutec is a distinctive, rugged limestone peak in Slovakia’s Malá Fatra range, popular with hikers for its steep trails and scenic views.
- 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: Růžička Triple: [Vladimír Růžička, familyName, Růžička]
Generated description
Růžička is a Czech surname borne by various notable figures in fields such as sports, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Růžička Target entity description: Růžička is a Czech surname borne by various notable figures in fields such as sports, science, and the arts.
-
A.
Srdiečko
Srdiečko is a mountain area and ski resort base in the Low Tatras of Slovakia, serving as an access point to the Chopok ski region.
-
B.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
C.
Zedka
Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
-
D.
Tri Studničky
Tri Studničky is a trailhead and mountain area in the High Tatras of Slovakia, known as a popular starting point for hikes up Kriváň.
-
E.
Malý Rozsutec
Malý Rozsutec is a distinctive, rugged limestone peak in Slovakia’s Malá Fatra range, popular with hikers for its steep trails and scenic views.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4fa3788190b7fa5c34620c3ada |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e14f4dc8190860bd3bd4e306e28 |
completed | May 8, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4ea9fefc8190a5650f8ee270f37f |
completed | May 8, 2026, 2:47 a.m. |
Created at: April 10, 2026, 1:15 a.m.