Triple

T2024956
Position Surface form Disambiguated ID Type / Status
Subject Miklós Horthy E44186 entity
Predicate givenName P17 FINISHED
Object Miklós
Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
E250411 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: Miklós | Statement: [Miklós Horthy, givenName, Miklós]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miklós
Context triple: [Miklós Horthy, givenName, Miklós]
  • A. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • B. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • E. János Gálicz
    János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
  • 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: Miklós
Triple: [Miklós Horthy, givenName, Miklós]
Generated description
Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miklós
Target entity description: Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • A. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • B. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • E. János Gálicz
    János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f2cd5c8190b19da6f6aa2001d6 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71a7e3408190955aa7f2534316dc completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae74190ac481908d1a54fb744e7df3 completed March 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69ae7472fe948190b8df210de1afb159 completed March 9, 2026, 7:19 a.m.
Created at: March 4, 2026, 7:38 p.m.