Triple

T18586065
Position Surface form Disambiguated ID Type / Status
Subject George Szirtes E454238 entity
Predicate familyName P18 FINISHED
Object Szirtes
Szirtes is the surname of George Szirtes, a Hungarian-born British poet, translator, and academic known for his award-winning poetry and translations.
E1332469 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: Szirtes | Statement: [George Szirtes, familyName, Szirtes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szirtes
Context triple: [George Szirtes, familyName, Szirtes]
  • 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. Haraszti
    Haraszti is a Hungarian surname most notably associated with writer, dissident, and politician Miklós Haraszti.
  • D. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • 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: Szirtes
Triple: [George Szirtes, familyName, Szirtes]
Generated description
Szirtes is the surname of George Szirtes, a Hungarian-born British poet, translator, and academic known for his award-winning poetry and translations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Szirtes
Target entity description: Szirtes is the surname of George Szirtes, a Hungarian-born British poet, translator, and academic known for his award-winning poetry and translations.
  • 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. Haraszti
    Haraszti is a Hungarian surname most notably associated with writer, dissident, and politician Miklós Haraszti.
  • D. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b210488190ba62d3bf6e1a595c completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f89193788190bd7334f80c23d0df completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04fe50f2c88190bba68d4c0025d0ef completed May 13, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_6a04ff3cef0481909eef191716f4c74d completed May 13, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:44 a.m.