Triple
T17332509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ján Kollár |
E420850
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kollár
Kollár is a Slovak and Czech surname most notably borne by the 19th-century Slovak poet and national revivalist Ján Kollár.
|
E1262865
|
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: Kollár | Statement: [Ján Kollár, familyName, Kollár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kollár Context triple: [Ján Kollár, familyName, Kollár]
-
A.
Kácov
Kácov is a small Czech village and popular recreational spot in Central Bohemia, known for its scenic setting amid forests and hills and its historic brewery.
-
B.
Kolinec
Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
-
C.
Kocian
Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
-
D.
Vlkolínec
Vlkolínec is a remarkably well-preserved UNESCO-listed Slovak mountain village known for its traditional wooden architecture and folk heritage.
-
E.
Kohout
Kohout is a Czech surname borne by various notable individuals in fields such as literature, economics, and sports.
- 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: Kollár Triple: [Ján Kollár, familyName, Kollár]
Generated description
Kollár is a Slovak and Czech surname most notably borne by the 19th-century Slovak poet and national revivalist Ján Kollár.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kollár Target entity description: Kollár is a Slovak and Czech surname most notably borne by the 19th-century Slovak poet and national revivalist Ján Kollár.
-
A.
Kácov
Kácov is a small Czech village and popular recreational spot in Central Bohemia, known for its scenic setting amid forests and hills and its historic brewery.
-
B.
Kolinec
Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
-
C.
Kocian
Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
-
D.
Vlkolínec
Vlkolínec is a remarkably well-preserved UNESCO-listed Slovak mountain village known for its traditional wooden architecture and folk heritage.
-
E.
Kohout
Kohout is a Czech surname borne by various notable individuals in fields such as literature, economics, and sports.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a0fa57881909071fd395b3d46c4 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5025d08190ab2581a3b04ae661 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018e85c91081909a6944ff136e8f50 |
completed | May 11, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018f7ebf548190b407ebeacbd4d327 |
completed | May 11, 2026, 8:12 a.m. |
Created at: April 10, 2026, 5:43 a.m.