Triple

T16093284
Position Surface form Disambiguated ID Type / Status
Subject Mici E390414 entity
Predicate givenNameOf P17 FINISHED
Object Mária Harkányi
Mária Harkányi was a Hungarian individual known by the given name Mici, likely recognized in Hungarian cultural or social contexts.
E1194980 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: Mária Harkányi | Statement: [Mici, givenNameOf, Mária Harkányi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mária Harkányi
Context triple: [Mici, givenNameOf, Mária Harkányi]
  • A. Klára Fülepp
    Klára Fülepp is best known as the wife of József Antall, the first democratically elected Prime Minister of Hungary after the fall of communism.
  • B. Jarmila Marton
    Jarmila Marton was the wife of Hungarian-American film director Andrew Marton, known primarily in relation to his personal life.
  • C. Józsefina Festetics
    Józsefina Festetics was a Hungarian noblewoman from the influential Festetics family and the mother of statesman and reformer István Széchenyi.
  • D. Hilda Péter
    Hilda Péter is an actress best known for her role in the psychological horror film "Berberian Sound Studio."
  • E. Katalin Novák
    Katalin Novák is a Hungarian politician who served as the first female President of Hungary, known for her work on family and social policy.
  • 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: Mária Harkányi
Triple: [Mici, givenNameOf, Mária Harkányi]
Generated description
Mária Harkányi was a Hungarian individual known by the given name Mici, likely recognized in Hungarian cultural or social contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mária Harkányi
Target entity description: Mária Harkányi was a Hungarian individual known by the given name Mici, likely recognized in Hungarian cultural or social contexts.
  • A. Klára Fülepp
    Klára Fülepp is best known as the wife of József Antall, the first democratically elected Prime Minister of Hungary after the fall of communism.
  • B. Jarmila Marton
    Jarmila Marton was the wife of Hungarian-American film director Andrew Marton, known primarily in relation to his personal life.
  • C. Józsefina Festetics
    Józsefina Festetics was a Hungarian noblewoman from the influential Festetics family and the mother of statesman and reformer István Széchenyi.
  • D. Hilda Péter
    Hilda Péter is an actress best known for her role in the psychological horror film "Berberian Sound Studio."
  • E. Katalin Novák
    Katalin Novák is a Hungarian politician who served as the first female President of Hungary, known for her work on family and social policy.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb973c88819091fe284420088e7e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffed3d57388190a4d0faa58ee2a27b completed May 10, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ffedfb88a881909e6adbb3a372246b completed May 10, 2026, 2:31 a.m.
Created at: April 10, 2026, 4:59 a.m.