Triple
T9663190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagy |
E233636
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Miklós Nagy
Miklós Nagy is a personal name borne by several notable individuals, typically of Hungarian origin.
|
E833303
|
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: Miklós Nagy | Statement: [Nagy, hasNotableBearer, Miklós Nagy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miklós Nagy Context triple: [Nagy, hasNotableBearer, Miklós Nagy]
-
A.
Ferenc Nagy
Ferenc Nagy was a Hungarian politician who served as Prime Minister of Hungary from 1946 to 1947 during the early post-World War II period.
-
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.
Zala György
Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
-
D.
László Nagy
László Nagy is a common Hungarian name shared by several notable figures, including a poet, a handball player, and a politician.
-
E.
István Nagy
István Nagy is a common Hungarian name shared by several notable figures, including politicians, artists, and academics.
- 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: Miklós Nagy Triple: [Nagy, hasNotableBearer, Miklós Nagy]
Generated description
Miklós Nagy is a personal name borne by several notable individuals, typically of Hungarian origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miklós Nagy Target entity description: Miklós Nagy is a personal name borne by several notable individuals, typically of Hungarian origin.
-
A.
Ferenc Nagy
Ferenc Nagy was a Hungarian politician who served as Prime Minister of Hungary from 1946 to 1947 during the early post-World War II period.
-
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.
Zala György
Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
-
D.
László Nagy
László Nagy is a common Hungarian name shared by several notable figures, including a poet, a handball player, and a politician.
-
E.
István Nagy
István Nagy is a common Hungarian name shared by several notable figures, including politicians, artists, and academics.
- 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_69d25743261881909b207405d5eaa4cd |
completed | April 5, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69d258b6d9c0819096dbd3e85dc6adfc |
completed | April 5, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 8:14 p.m.