Triple

T7271502
Position Surface form Disambiguated ID Type / Status
Subject Catharina of Württemberg E161115 entity
Predicate givenName P17 FINISHED
Object Catharina
Catharina of Württemberg was a 19th-century German princess who became Queen consort of Westphalia through her marriage to Jérôme Bonaparte, Napoleon’s youngest brother.
 E654363 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: Catharina | Statement: [Catharina of Württemberg, givenName, Catharina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Catharina
Context triple: [Catharina of Württemberg, givenName, Catharina]
  • A. Ricarda
    Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
  • B. Catharina Hent
    Catharina Hent was the wife of Dutch statesman and post–World War II prime minister Willem Drees.
  • C. Gertrudis
    Gertrudis is a passionate and rebellious sister in "Like Water for Chocolate" whose fiery nature and unconventional choices challenge her family's strict traditions.
  • D. Catharina van Marienburg
    Catharina van Marienburg was the wife of Flemish Baroque painter Jan Brueghel the Elder and a member of the notable Brueghel artistic family circle.
  • E. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • 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: Catharina
Triple: [Catharina of Württemberg, givenName, Catharina]
Generated description
Catharina of Württemberg was a 19th-century German princess who became Queen consort of Westphalia through her marriage to Jérôme Bonaparte, Napoleon’s youngest brother.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Catharina
Target entity description: Catharina of Württemberg was a 19th-century German princess who became Queen consort of Westphalia through her marriage to Jérôme Bonaparte, Napoleon’s youngest brother.
  • A. Ricarda
    Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
  • B. Catharina Hent
    Catharina Hent was the wife of Dutch statesman and post–World War II prime minister Willem Drees.
  • C. Gertrudis
    Gertrudis is a passionate and rebellious sister in "Like Water for Chocolate" whose fiery nature and unconventional choices challenge her family's strict traditions.
  • D. Catharina van Marienburg
    Catharina van Marienburg was the wife of Flemish Baroque painter Jan Brueghel the Elder and a member of the notable Brueghel artistic family circle.
  • E. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0a03888190b5aa1da80dd303c5 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db25658481909fc8cf86deb436a4 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df68b27081909acd7b903546f1c2 completed March 28, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfdea8a48190b901003a4a60d36f completed March 28, 2026, 2:04 p.m.
Created at: March 27, 2026, 2:58 p.m.