Triple

T6005676
Position Surface form Disambiguated ID Type / Status
Subject Miklos Molnar E133704 entity
Predicate familyName P18 FINISHED
Object Molnar
Molnar is a Hungarian surname commonly borne by individuals of Hungarian origin or descent.
 E564279 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: Molnar | Statement: [Miklos Molnar, familyName, Molnar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Molnar
Context triple: [Miklos Molnar, familyName, Molnar]
  • 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. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • E. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • 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: Molnar
Triple: [Miklos Molnar, familyName, Molnar]
Generated description
Molnar is a Hungarian surname commonly borne by individuals of Hungarian origin or descent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Molnar
Target entity description: Molnar is a Hungarian surname commonly borne by individuals of Hungarian origin or descent.
  • 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. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • E. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f128354819088971ee398cbda77 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11365741c819097a43a49dd2428c1 completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c1153b6ce8819090a13d349ccd2d6c completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115acfe748190b91c88df81c2e1c2 completed March 23, 2026, 10:27 a.m.
Created at: March 22, 2026, 4:06 p.m.