Triple

T10093510
Position Surface form Disambiguated ID Type / Status
Subject University of Miskolc E215802 entity
Predicate hasRector P325 FINISHED
Object Zita Horváth
Zita Horváth is a Hungarian academic and university leader who serves as the rector of the University of Miskolc.
 E839889 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: Zita Horváth | Statement: [University of Miskolc, hasRector, Zita Horváth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zita Horváth
Context triple: [University of Miskolc, hasRector, Zita Horváth]
  • A. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • B. Ilona Kovács
    Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
  • C. Hedwig Miklas
    Hedwig Miklas was the wife of Austrian President Wilhelm Miklas and served as Austria’s First Lady during his tenure in office.
  • D. Ágnes Hranitzky
    Ágnes Hranitzky is a Hungarian film editor and co-director best known for her long-term creative collaboration with filmmaker Béla Tarr on his distinctive, slow-paced art films.
  • E. Emilie Schenkl
    Emilie Schenkl was an Austrian woman best known as the wife of Indian nationalist leader Subhas Chandra Bose and the mother of their daughter, Anita Bose Pfaff.
  • 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: Zita Horváth
Triple: [University of Miskolc, hasRector, Zita Horváth]
Generated description
Zita Horváth is a Hungarian academic and university leader who serves as the rector of the University of Miskolc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zita Horváth
Target entity description: Zita Horváth is a Hungarian academic and university leader who serves as the rector of the University of Miskolc.
  • A. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • B. Ilona Kovács
    Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
  • C. Hedwig Miklas
    Hedwig Miklas was the wife of Austrian President Wilhelm Miklas and served as Austria’s First Lady during his tenure in office.
  • D. Ágnes Hranitzky
    Ágnes Hranitzky is a Hungarian film editor and co-director best known for her long-term creative collaboration with filmmaker Béla Tarr on his distinctive, slow-paced art films.
  • E. Emilie Schenkl
    Emilie Schenkl was an Austrian woman best known as the wife of Indian nationalist leader Subhas Chandra Bose and the mother of their daughter, Anita Bose Pfaff.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05da3688190b7a1ac8a58e5488f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6aecc488190a9af098f687327ed completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7bb88348190a39908b34b7419b2 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b81e7b948190baa417186aac284b completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 9:01 p.m.