Triple

T11624108
Position Surface form Disambiguated ID Type / Status
Subject Principality of Hungary E276215 entity
Predicate notableRuler P22 FINISHED
Object 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.
 E938282 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: Zoltán | Statement: [Principality of Hungary, notableRuler, Zoltán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zoltán
Context triple: [Principality of Hungary, notableRuler, Zoltán]
  • A. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • B. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • C. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • D. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • E. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • 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: Zoltán
Triple: [Principality of Hungary, notableRuler, Zoltán]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zoltán
Target entity description: 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.
  • A. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • B. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • C. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • D. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • E. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87745b388190a78958fa0c08b89b completed April 26, 2026, 9:45 p.m.
NEDg Description generation batch_69eeb3137f4c8190ba8ac48b2cb419b4 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9845bec81909f0f9b005f75249a completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.