Triple
T9663186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagy |
E233636
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
József Nagy
József Nagy is a common Hungarian personal name shared by several notable figures, including athletes, artists, and public personalities.
|
E830409
|
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: József Nagy | Statement: [Nagy, hasNotableBearer, József Nagy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: József Nagy Context triple: [Nagy, hasNotableBearer, József 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.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
D.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
E.
László Bárdossy
László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
- 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: József Nagy Triple: [Nagy, hasNotableBearer, József Nagy]
Generated description
József Nagy is a common Hungarian personal name shared by several notable figures, including athletes, artists, and public personalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: József Nagy Target entity description: József Nagy is a common Hungarian personal name shared by several notable figures, including athletes, artists, and public personalities.
-
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.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
D.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
E.
László Bárdossy
László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
- 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_69d2284e9d0c8190ab09ad1fd0a123e3 |
completed | April 5, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_69d22990ef5881908b6a6100d7dcf6e6 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a0cb0808190a6119dc0268c50b9 |
completed | April 5, 2026, 9:23 a.m. |
Created at: March 30, 2026, 8:14 p.m.