Triple

T14210342
Position Surface form Disambiguated ID Type / Status
Subject István Széchenyi E352210 entity
Predicate nickname P55 FINISHED
Object the Greatest Hungarian
The Greatest Hungarian is the honorific nickname of István Széchenyi, a 19th-century statesman and reformer widely regarded as one of Hungary’s most important modernizers.
 E1085846 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: the Greatest Hungarian | Statement: [István Széchenyi, nickname, the Greatest Hungarian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: the Greatest Hungarian
Context triple: [István Széchenyi, nickname, the Greatest Hungarian]
  • A. Lóránt
    Lóránt is a Hungarian given name derived from the Latin name Laurentius, commonly used for males in Hungary.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • D. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • E. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • 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: the Greatest Hungarian
Triple: [István Széchenyi, nickname, the Greatest Hungarian]
Generated description
The Greatest Hungarian is the honorific nickname of István Széchenyi, a 19th-century statesman and reformer widely regarded as one of Hungary’s most important modernizers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: the Greatest Hungarian
Target entity description: The Greatest Hungarian is the honorific nickname of István Széchenyi, a 19th-century statesman and reformer widely regarded as one of Hungary’s most important modernizers.
  • A. Lóránt
    Lóránt is a Hungarian given name derived from the Latin name Laurentius, commonly used for males in Hungary.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • D. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • E. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19557f908190abb3dc116676f215 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b198c6c81909b71a51a39711754 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1bb585448190bc3393304980b808 completed May 7, 2026, 11:09 p.m.
Created at: April 10, 2026, 1:05 a.m.