Triple
T9663191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagy |
E233636
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Péter Nagy
Péter Nagy is a Hungarian given name shared by several notable individuals, including figures in politics, sports, and the arts.
|
E835567
|
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: Péter Nagy | Statement: [Nagy, hasNotableBearer, Péter Nagy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Péter Nagy Context triple: [Nagy, hasNotableBearer, Péter Nagy]
-
A.
László Nagy
László Nagy is a common Hungarian name shared by several notable figures, including a poet, a handball player, and a politician.
-
B.
Pál Nagy
Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
-
C.
József Nagy
József Nagy is a common Hungarian personal name shared by several notable figures, including athletes, artists, and public personalities.
-
D.
Miklós Nagy
Miklós Nagy is a personal name borne by several notable individuals, typically of Hungarian origin.
-
E.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
- 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: Péter Nagy Triple: [Nagy, hasNotableBearer, Péter Nagy]
Generated description
Péter Nagy is a Hungarian given name shared by several notable individuals, including figures in politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Péter Nagy Target entity description: Péter Nagy is a Hungarian given name shared by several notable individuals, including figures in politics, sports, and the arts.
-
A.
László Nagy
László Nagy is a common Hungarian name shared by several notable figures, including a poet, a handball player, and a politician.
-
B.
Pál Nagy
Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
-
C.
József Nagy
József Nagy is a common Hungarian personal name shared by several notable figures, including athletes, artists, and public personalities.
-
D.
Miklós Nagy
Miklós Nagy is a personal name borne by several notable individuals, typically of Hungarian origin.
-
E.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
- 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_69d269858f648190a9c3b730d37ecf9c |
completed | April 5, 2026, 1:54 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:14 p.m.