Triple

T17963956
Position Surface form Disambiguated ID Type / Status
Subject Magdalena Kožená E449153 entity
Predicate familyName P18 FINISHED
Object Kožená
Kožená is the Czech surname of world-renowned mezzo-soprano Magdalena Kožená, noted for her performances in Baroque, Classical, and Romantic repertoire.
 E1299048 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: Kožená | Statement: [Magdalena Kožená, familyName, Kožená]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kožená
Context triple: [Magdalena Kožená, familyName, Kožená]
  • A. Pölsan
    Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Loden
    Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
  • D. Kotěra
    Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
  • E. Zwota
    Zwota is a village in the Saxon Vogtland region of Germany, known for its location near the Czech border and its tradition of musical instrument craftsmanship.
  • 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: Kožená
Triple: [Magdalena Kožená, familyName, Kožená]
Generated description
Kožená is the Czech surname of world-renowned mezzo-soprano Magdalena Kožená, noted for her performances in Baroque, Classical, and Romantic repertoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kožená
Target entity description: Kožená is the Czech surname of world-renowned mezzo-soprano Magdalena Kožená, noted for her performances in Baroque, Classical, and Romantic repertoire.
  • A. Pölsan
    Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Loden
    Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
  • D. Kotěra
    Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
  • E. Zwota
    Zwota is a village in the Saxon Vogtland region of Germany, known for its location near the Czech border and its tradition of musical instrument craftsmanship.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b135cd2c8190a6190cf6611dbe08 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330100f048190aba7448d9891cfdc completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a033146fbbc81908c28b8dc53517f53 completed May 12, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0333c5fb888190b73cbd9f032dbc6e completed May 12, 2026, 2:05 p.m.
Created at: April 10, 2026, 10:22 a.m.