Triple

T8340683
Position Surface form Disambiguated ID Type / Status
Subject Ebba Busch E195902 entity
Predicate name P16 FINISHED
Object Ebba Busch E195902 NE FINISHED

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: Ebba Busch | Statement: [Ebba Busch, name, Ebba Busch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebba Busch
Context triple: [Ebba Busch, name, Ebba Busch]
  • A. Ebba Busch chosen
    Ebba Busch is a Swedish politician who serves as the leader of the Christian Democrats and has held prominent roles in Sweden's national government.
  • B. Astrid Eckert
    Astrid Eckert is a historian and academic known for her work on modern German history, memory culture, and the legacy of the Cold War.
  • C. Dagmar Berghoff
    Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
  • D. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • E. Regine Schlegel
    Regine Schlegel, born Regine Olsen, was a 19th-century Danish woman best known as the onetime fiancée and enduring muse of philosopher Søren Kierkegaard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7237aa0819092b3679a318223ba completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.