Triple

T8583594
Position Surface form Disambiguated ID Type / Status
Subject Miklós Kállay E203245 entity
Predicate familyName P18 FINISHED
Object Kállay
Kállay is a Hungarian surname most notably associated with Miklós Kállay, who served as Prime Minister of Hungary during World War II.
 E744350 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: Kállay | Statement: [Miklós Kállay, familyName, Kállay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kállay
Context triple: [Miklós Kállay, familyName, Kállay]
  • A. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • B. Károlyi
    Károlyi is a Hungarian noble family name most prominently associated with Mihály Károlyi, a key political figure and leader during Hungary’s transition after World War I.
  • C. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • D. Ernő
    Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
  • E. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • 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: Kállay
Triple: [Miklós Kállay, familyName, Kállay]
Generated description
Kállay is a Hungarian surname most notably associated with Miklós Kállay, who served as Prime Minister of Hungary during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kállay
Target entity description: Kállay is a Hungarian surname most notably associated with Miklós Kállay, who served as Prime Minister of Hungary during World War II.
  • A. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • B. Károlyi
    Károlyi is a Hungarian noble family name most prominently associated with Mihály Károlyi, a key political figure and leader during Hungary’s transition after World War I.
  • C. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • D. Ernő
    Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
  • E. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1ecc188190bbe2ab8d2423505b completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89bfb95c81909660460d5813fdaf completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8ac1dba48190bbad47a762130aab completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8eae70008190b2c7bbe4ce8d4c0a completed April 2, 2026, 3:43 p.m.
Created at: March 30, 2026, 6:22 p.m.