Triple

T20783846
Position Surface form Disambiguated ID Type / Status
Subject Stephen I of Hungary E511576 entity
Predicate mother P120 FINISHED
Object Sarolt E129719 NE FINISHED

How this triple was built (2 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: Sarolt | Statement: [Stephen I of Hungary, mother, Sarolt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarolt
Context triple: [Stephen I of Hungary, mother, Sarolt]
  • A. Sarolt chosen
    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. 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.
  • C. Szirtes
    Szirtes is the surname of George Szirtes, a Hungarian-born British poet, translator, and academic known for his award-winning poetry and translations.
  • D. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • E. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28a4584819084d2d02febe47001 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8b894a88190be0ae6cc8bc58ee3 completed May 16, 2026, 11:07 p.m.
Created at: April 16, 2026, 12:38 p.m.