Triple

T1628496
Position Surface form Disambiguated ID Type / Status
Subject Mueller E35200 entity
Predicate isEquivalentSurnameInLanguage P27865 FINISHED
Object Molnár (Hungarian)
Molnár is a common Hungarian occupational surname, equivalent to the German name Müller, originally referring to a miller.
E183628 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: Molnár (Hungarian) | Statement: [Mueller, isEquivalentSurnameInLanguage, Molnár (Hungarian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molnár (Hungarian)
Context triple: [Mueller, isEquivalentSurnameInLanguage, Molnár (Hungarian)]
  • A. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • B. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • 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. Miklos Molnar
    Miklos Molnar is a retired Danish-Hungarian footballer and striker best known for scoring the winning goal for the Kansas City Wizards in the 2000 MLS Cup final.
  • E. Mako, Kingdom of Hungary
    Mako, Kingdom of Hungary was a town in the former Kingdom of Hungary, notable as the birthplace of newspaper publisher and journalist Joseph Pulitzer.
  • 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: Molnár (Hungarian)
Triple: [Mueller, isEquivalentSurnameInLanguage, Molnár (Hungarian)]
Generated description
Molnár is a common Hungarian occupational surname, equivalent to the German name Müller, originally referring to a miller.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Molnár (Hungarian)
Target entity description: Molnár is a common Hungarian occupational surname, equivalent to the German name Müller, originally referring to a miller.
  • A. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • B. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • C. Molenaar chosen
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • D. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • E. Miklos Molnar
    Miklos Molnar is a retired Danish-Hungarian footballer and striker best known for scoring the winning goal for the Kansas City Wizards in the 2000 MLS Cup final.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61df32a88190a7e823a77bdcc84a completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d5acd8819090c51678ce0f63f0 completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a619da481908d66837ea94c91cf completed March 8, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69ad5b41a68c8190ba293d8e8c35521b completed March 8, 2026, 11:19 a.m.
Created at: March 4, 2026, 7:28 p.m.