Triple

T15498992
Position Surface form Disambiguated ID Type / Status
Subject Anna of Bohemia E378898 entity
Predicate mother P120 FINISHED
Object Constance of Hungary E353978 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: Constance of Hungary | Statement: [Anna of Bohemia, mother, Constance of Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constance of Hungary
Context triple: [Anna of Bohemia, mother, Constance of Hungary]
  • A. Constance of Hungary chosen
    Constance of Hungary was a 13th-century Hungarian princess of the Árpád dynasty who became Queen consort of Galicia–Volhynia through her marriage to Leo I of Galicia.
  • B. Cunegunda of Hungary
    Cunegunda of Hungary, also known as Saint Kinga, was a 13th-century Hungarian princess and Polish queen renowned for her piety, charitable works, and role in strengthening ties between Hungary and Poland.
  • C. Constance of Aragon, Queen of Hungary
    Constance of Aragon, Queen of Hungary, was a 12th–13th century Aragonese princess who became queen consort of Hungary through her marriage to King Emeric.
  • D. Helena of Hungary
    Helena of Hungary was a medieval Hungarian princess who became Duchess of Austria through her marriage to Leopold V.
  • E. Yolanda of Hungary
    Yolanda of Hungary was a 13th-century Hungarian princess who became a Franciscan nun and is venerated as a blessed figure in the Catholic Church.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0319f248190a37c9afa09c32428 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 3:53 a.m.