Triple

T9663185
Position Surface form Disambiguated ID Type / Status
Subject Nagy E233636 entity
Predicate hasNotableBearer P458 FINISHED
Object Gábor Nagy
Gábor Nagy is a Hungarian given name borne by several notable individuals across fields such as politics, sports, and academia.
 E828677 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: Gábor Nagy | Statement: [Nagy, hasNotableBearer, Gábor Nagy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gábor Nagy
Context triple: [Nagy, hasNotableBearer, Gábor 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. Ádám Nagy
    Ádám Nagy is a Hungarian professional footballer known for playing as a central midfielder for club and country.
  • C. 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.
  • D. Gábor Vajna
    Gábor Vajna was a Hungarian fascist politician who served as Interior Minister in the pro-Nazi Arrow Cross regime during World War II.
  • E. Gordon Bajnai
    Gordon Bajnai is a Hungarian economist and politician who served as Hungary’s prime minister during the 2009–2010 financial and political crisis.
  • 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: Gábor Nagy
Triple: [Nagy, hasNotableBearer, Gábor Nagy]
Generated description
Gábor Nagy is a Hungarian given name borne by several notable individuals across fields such as politics, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gábor Nagy
Target entity description: Gábor Nagy is a Hungarian given name borne by several notable individuals across fields such as politics, sports, 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. Ádám Nagy
    Ádám Nagy is a Hungarian professional footballer known for playing as a central midfielder for club and country.
  • C. 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.
  • D. Gábor Vajna
    Gábor Vajna was a Hungarian fascist politician who served as Interior Minister in the pro-Nazi Arrow Cross regime during World War II.
  • E. Gordon Bajnai
    Gordon Bajnai is a Hungarian economist and politician who served as Hungary’s prime minister during the 2009–2010 financial and political crisis.
  • 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_69d20ce61044819091c6a142d5ea6ba7 completed April 5, 2026, 7:19 a.m.
NEDg Description generation batch_69d20e9f480c819086b0165aa77ddb06 completed April 5, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69d20fa9cab88190bbddcf18b49f8172 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:14 p.m.