Triple

T22752569
Position Surface form Disambiguated ID Type / Status
Subject Mafalda of Castile E562743 entity
Predicate givenName P17 FINISHED
Object Mafalda NE NERFINISHED

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: Mafalda | Statement: [Mafalda of Castile, givenName, Mafalda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mafalda
Context triple: [Mafalda of Castile, givenName, Mafalda]
  • A. Mafalda chosen
    Mafalda is a princess of the House of Savoy, best known as the daughter of King Victor Emmanuel III of Italy and for her tragic death in a Nazi concentration camp during World War II.
  • B. Mafalda
    Mafalda is an iconic Argentine comic strip character—a sharp, socially conscious little girl—created by cartoonist Quino, known for her humorous yet critical reflections on politics and society.
  • C. Eliana
    Eliana is a feminine given name of Hebrew and Latin origin, often interpreted to mean "God has answered" or "my God has answered."
  • D. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • E. Marisabel
    Marisabel is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179baa85881909140f41f2428cc98 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.