Triple

T1573152
Position Surface form Disambiguated ID Type / Status
Subject Ludovica E33585 entity
Predicate hasVariantSpelling P457 FINISHED
Object Ludovika
Ludovika is a feminine given name, used as a variant spelling of Ludovica in various European languages.
E244038 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: Ludovika | Statement: [Ludovica, hasVariantSpelling, Ludovika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludovika
Context triple: [Ludovica, hasVariantSpelling, Ludovika]
  • A. Maria Antonia of Naples and Sicily
    Maria Antonia of Naples and Sicily was an 18th–19th century Neapolitan princess and Spanish queen consort from the Bourbon dynasty.
  • B. Luise
    Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
  • C. Maria Adelaide of Savoy
    Maria Adelaide of Savoy was a Savoyard princess who became Dauphine of France as the wife of Louis, Duke of Burgundy, and mother of the future King Louis XV.
  • D. Isabella of Parma
    Isabella of Parma was an 18th-century Bourbon princess and Archduchess of Austria, known for her intelligence, cultural refinement, and tragic early death.
  • E. Maria Clotilde of Savoy
    Maria Clotilde of Savoy was an Italian princess of the House of Savoy who became Princess of Napoléon through marriage to Napoléon Joseph Charles Paul Bonaparte.
  • 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: Ludovika
Triple: [Ludovica, hasVariantSpelling, Ludovika]
Generated description
Ludovika is a feminine given name, used as a variant spelling of Ludovica in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ludovika
Target entity description: Ludovika is a feminine given name, used as a variant spelling of Ludovica in various European languages.
  • A. Maria Antonia of Naples and Sicily
    Maria Antonia of Naples and Sicily was an 18th–19th century Neapolitan princess and Spanish queen consort from the Bourbon dynasty.
  • B. Luise
    Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
  • C. Maria Adelaide of Savoy
    Maria Adelaide of Savoy was a Savoyard princess who became Dauphine of France as the wife of Louis, Duke of Burgundy, and mother of the future King Louis XV.
  • D. Isabella of Parma
    Isabella of Parma was an 18th-century Bourbon princess and Archduchess of Austria, known for her intelligence, cultural refinement, and tragic early death.
  • E. Maria Clotilde of Savoy
    Maria Clotilde of Savoy was an Italian princess of the House of Savoy who became Princess of Napoléon through marriage to Napoléon Joseph Charles Paul Bonaparte.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908bb9c648190933fd19bcc1cb9a4 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6518e07081909c34a363d7ac0f25 completed March 9, 2026, 6:13 a.m.
NEDg Description generation batch_69ae65ac14a8819091fa0795c7f99917 completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae66429c208190ae011d7ee001c9ea completed March 9, 2026, 6:18 a.m.
Created at: March 4, 2026, 7:27 p.m.