Triple
T16802954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Prešov |
E408402
|
entity |
| Predicate | hasRector |
P325
|
FINISHED |
| Object |
Peter Kónya
Peter Kónya is a Slovak historian and academic who serves as the rector of the University of Prešov.
|
E1233001
|
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: Peter Kónya | Statement: [University of Prešov, hasRector, Peter Kónya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Kónya Context triple: [University of Prešov, hasRector, Peter Kónya]
-
A.
Gábor Takács-Nagy
Gábor Takács-Nagy is a Hungarian violinist and conductor, best known as a founding member of the Takács Quartet and for his leadership of prominent European chamber orchestras.
-
B.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
C.
László Kovács
László Kovács was a renowned Hungarian-American cinematographer celebrated for his influential work in New Hollywood cinema, including landmark films of the late 1960s and 1970s.
-
D.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
E.
Gábor Vajna
Gábor Vajna was a Hungarian fascist politician who served as Interior Minister in the pro-Nazi Arrow Cross regime during World War II.
- 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: Peter Kónya Triple: [University of Prešov, hasRector, Peter Kónya]
Generated description
Peter Kónya is a Slovak historian and academic who serves as the rector of the University of Prešov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Kónya Target entity description: Peter Kónya is a Slovak historian and academic who serves as the rector of the University of Prešov.
-
A.
Gábor Takács-Nagy
Gábor Takács-Nagy is a Hungarian violinist and conductor, best known as a founding member of the Takács Quartet and for his leadership of prominent European chamber orchestras.
-
B.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
C.
László Kovács
László Kovács was a renowned Hungarian-American cinematographer celebrated for his influential work in New Hollywood cinema, including landmark films of the late 1960s and 1970s.
-
D.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
E.
Gábor Vajna
Gábor Vajna was a Hungarian fascist politician who served as Interior Minister in the pro-Nazi Arrow Cross regime during World War II.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ca46f88190b56e81d75012496c |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1598dc81909fa5118e739a3291 |
completed | May 10, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_6a00ab7a9b448190bdaf460bbe5f8c2b |
completed | May 10, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00abf09fe4819082ee0c6c6f702822 |
completed | May 10, 2026, 4:01 p.m. |
Created at: April 10, 2026, 5:22 a.m.