Triple

T1917037
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth E40040 entity
Predicate hasVariant P455 FINISHED
Object Elisabet E113408 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: Elisabet | Statement: [Elizabeth, hasVariant, Elisabet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabet
Context triple: [Elizabeth, hasVariant, Elisabet]
  • A. Elisabeth chosen
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • B. Luise
    Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
  • C. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • D. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • E. Adelaide of Saxe-Meiningen
    Adelaide of Saxe-Meiningen was the queen consort of the United Kingdom as the wife of King William IV, known for her piety, charitable works, and for giving her name to the Australian city of Adelaide.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb20f54848190b9457e1231aa49db completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0310c2e08190aab7443cdfcd072a completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:35 p.m.