Triple
T9663189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagy |
E233636
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Zoltán Nagy
Zoltán Nagy is a Hungarian name shared by several notable individuals, including professionals in fields such as sports, music, and academia.
|
E832478
|
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: Zoltán Nagy | Statement: [Nagy, hasNotableBearer, Zoltán Nagy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoltán Nagy Context triple: [Nagy, hasNotableBearer, Zoltán Nagy]
-
A.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
B.
Gábor Nagy
Gábor Nagy is a Hungarian given name borne by several notable individuals across fields such as politics, sports, and academia.
-
C.
Ádám Nagy
Ádám Nagy is a Hungarian professional footballer known for playing as a central midfielder for club and country.
-
D.
József Nagy
József Nagy is a common Hungarian personal name shared by several notable figures, including athletes, artists, and public personalities.
-
E.
Marton Csokas
Marton Csokas is a New Zealand actor known for his versatile character roles in international films and television series, including major action and fantasy franchises.
- 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: Zoltán Nagy Triple: [Nagy, hasNotableBearer, Zoltán Nagy]
Generated description
Zoltán Nagy is a Hungarian name shared by several notable individuals, including professionals in fields such as sports, music, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zoltán Nagy Target entity description: Zoltán Nagy is a Hungarian name shared by several notable individuals, including professionals in fields such as sports, music, and academia.
-
A.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
B.
Gábor Nagy
Gábor Nagy is a Hungarian given name borne by several notable individuals across fields such as politics, sports, and academia.
-
C.
Ádám Nagy
Ádám Nagy is a Hungarian professional footballer known for playing as a central midfielder for club and country.
-
D.
József Nagy
József Nagy is a common Hungarian personal name shared by several notable figures, including athletes, artists, and public personalities.
-
E.
Marton Csokas
Marton Csokas is a New Zealand actor known for his versatile character roles in international films and television series, including major action and fantasy franchises.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0cde048190b5a8e1548825d4d9 |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23cc145f4819093761be39ad9214e |
completed | April 5, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_69d23e6ca3908190b7ad7b932ab35ad7 |
completed | April 5, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d241020074819092bc2deea85a6ac0 |
completed | April 5, 2026, 11:01 a.m. |
Created at: March 30, 2026, 8:14 p.m.