Triple

T17856817
Position Surface form Disambiguated ID Type / Status
Subject Magdalena of Nassau-Dillenburg E445959 entity
Predicate givenName P17 FINISHED
Object Magdalena 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: Magdalena | Statement: [Magdalena of Nassau-Dillenburg, givenName, Magdalena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdalena
Context triple: [Magdalena of Nassau-Dillenburg, givenName, Magdalena]
  • A. Magdalena
    Magdalena is a historic town in the Mexican state of Jalisco, known for its role in the tequila-producing region and its proximity to agave landscapes and traditional distilleries.
  • B. Magdalena
    Magdalena is one of the central daughters in Federico García Lorca’s tragedy "The House of Bernarda Alba," embodying the repressed desires and frustrations of women living under strict patriarchal control.
  • C. Magdalena chosen
    Magdalena was an Austrian archduchess of the House of Habsburg in the 16th century, known for her piety and for founding a convent in Hall in Tirol.
  • D. Magdalena
    Magdalena is the given first name of Swedish opera singer and environmental activist Malena Ernman.
  • E. Erna
    Erna is the given name of Erna Schneider Hoover, an American mathematician and pioneering computer scientist known for revolutionizing telephone switching systems.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978bd5e081909e192f6aada5235f completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.