Triple

T16301141
Position Surface form Disambiguated ID Type / Status
Subject Miklós Haraszti E395790 entity
Predicate familyName P18 FINISHED
Object Haraszti
Haraszti is a Hungarian surname most notably associated with writer, dissident, and politician Miklós Haraszti.
 E1205009 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: Haraszti | Statement: [Miklós Haraszti, familyName, Haraszti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haraszti
Context triple: [Miklós Haraszti, familyName, Haraszti]
  • A. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • B. Vasarhelyi
    Vasarhelyi is the surname of Elizabeth Chai Vasarhelyi, an acclaimed documentary filmmaker known for works like "Free Solo."
  • C. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • D. 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.
  • 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: Haraszti
Triple: [Miklós Haraszti, familyName, Haraszti]
Generated description
Haraszti is a Hungarian surname most notably associated with writer, dissident, and politician Miklós Haraszti.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haraszti
Target entity description: Haraszti is a Hungarian surname most notably associated with writer, dissident, and politician Miklós Haraszti.
  • A. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • B. Vasarhelyi
    Vasarhelyi is the surname of Elizabeth Chai Vasarhelyi, an acclaimed documentary filmmaker known for works like "Free Solo."
  • C. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • D. 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.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e32da7081908d8bd320374a5731 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00204bc3dc8190af075707f8989e3a completed May 10, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a00215cc7a48190a5c4219d15749aa2 completed May 10, 2026, 6:10 a.m.
Created at: April 10, 2026, 5:06 a.m.