Triple

T9663181
Position Surface form Disambiguated ID Type / Status
Subject Nagy E233636 entity
Predicate hasNotableBearer P458 FINISHED
Object Pál Nagy
Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
 E824569 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: Pál Nagy | Statement: [Nagy, hasNotableBearer, Pál Nagy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pál Nagy
Context triple: [Nagy, hasNotableBearer, Pál Nagy]
  • A. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • B. László Nagy
    László Nagy is a common Hungarian name shared by several notable figures, including a poet, a handball player, and a politician.
  • C. Gyula Halász
    Gyula Halász, better known by his pseudonym Brassaï, was a Hungarian–French photographer famed for his evocative black-and-white images of Parisian nightlife in the 1930s.
  • D. Ernő Gerő
    Ernő Gerő was a hardline Hungarian communist leader and brief de facto head of state whose intransigent policies and actions helped trigger the 1956 Hungarian Revolution.
  • 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: Pál Nagy
Triple: [Nagy, hasNotableBearer, Pál Nagy]
Generated description
Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pál Nagy
Target entity description: Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
  • A. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • B. László Nagy
    László Nagy is a common Hungarian name shared by several notable figures, including a poet, a handball player, and a politician.
  • C. Gyula Halász
    Gyula Halász, better known by his pseudonym Brassaï, was a Hungarian–French photographer famed for his evocative black-and-white images of Parisian nightlife in the 1930s.
  • D. Ernő Gerő
    Ernő Gerő was a hardline Hungarian communist leader and brief de facto head of state whose intransigent policies and actions helped trigger the 1956 Hungarian Revolution.
  • 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_69d1d59ab0b48190acc133cc806582cc completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d656972881908ca41f7feb0f29c3 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d6dc0bd8819082a5ad417ca87a76 completed April 5, 2026, 3:28 a.m.
Created at: March 30, 2026, 8:14 p.m.