Triple

T13437811
Position Surface form Disambiguated ID Type / Status
Subject Wilhelmina Cooper E320275 entity
Predicate givenName P17 FINISHED
Object Wilhelmina E1040435 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: Wilhelmina | Statement: [Wilhelmina Cooper, givenName, Wilhelmina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmina
Context triple: [Wilhelmina Cooper, givenName, Wilhelmina]
  • A. Wilhelmina
    Wilhelmina was a Prussian princess of the House of Hohenzollern who became Princess of Orange through marriage and played a significant political role in the Dutch Republic in the late 18th century.
  • B. Wilhelmina
    Wilhelmina is the given name of Lady Catherine Lucy Wilhelmina Stanhope, a 19th-century British aristocrat and political hostess.
  • C. Luise
    Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
  • D. Wilhelmina Behmenburg chosen
    Wilhelmina Behmenburg, better known as Wilhelmina Cooper, was a prominent Dutch-born fashion model and influential modeling agency founder in the mid-20th century.
  • E. Maria Christina
    Maria Christina, known as Princess Christina of the Netherlands, was a Dutch royal and youngest daughter of Queen Juliana and Prince Bernhard who became known for her work as a singer and music educator.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74621474c8190b96a8f8561451bed completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:40 p.m.