Triple

T10442667
Position Surface form Disambiguated ID Type / Status
Subject Márta Károlyi E246206 entity
Predicate givenName P17 FINISHED
Object Márta
Márta is a Hungarian given name, notably borne by renowned gymnastics coach Márta Károlyi.
 E585918 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: Márta | Statement: [Márta Károlyi, givenName, Márta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Márta
Context triple: [Márta Károlyi, givenName, Márta]
  • A. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • B. Katalin
    Katalin is a Hungarian given name most prominently associated with biochemist Katalin Karikó, a pioneer of mRNA technology used in COVID-19 vaccines.
  • C. Márta Eggerth
    Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
  • D. Márta Borbíró
    Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
  • E. Ilona Komocsin
    Ilona Komocsin was the wife and muse of Hungarian architect and sculptor Jenő Bory, for whom he built the romantic Bory Castle as a monument to their love.
  • 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: Márta
Triple: [Márta Károlyi, givenName, Márta]
Generated description
Márta is a Hungarian given name, notably borne by renowned gymnastics coach Márta Károlyi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Márta
Target entity description: Márta is a Hungarian given name, notably borne by renowned gymnastics coach Márta Károlyi.
  • A. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • B. Katalin
    Katalin is a Hungarian given name most prominently associated with biochemist Katalin Karikó, a pioneer of mRNA technology used in COVID-19 vaccines.
  • C. Márta Eggerth chosen
    Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
  • D. Márta Borbíró
    Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
  • E. Ilona Komocsin
    Ilona Komocsin was the wife and muse of Hungarian architect and sculptor Jenő Bory, for whom he built the romantic Bory Castle as a monument to their love.
  • F. None of above.

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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
NEDg Description generation batch_69d8a1656b348190ba932d03402d6a4d completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2b82bb48190899f37a967fef444 completed April 10, 2026, 7:11 a.m.
Created at: April 6, 2026, 12:15 p.m.