Triple

T8340685
Position Surface form Disambiguated ID Type / Status
Subject Ebba Busch E195902 entity
Predicate givenName P17 FINISHED
Object Ebba
Ebba is a Scandinavian feminine given name, particularly common in Sweden and Denmark.
 E728551 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: Ebba | Statement: [Ebba Busch, givenName, Ebba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ebba
Context triple: [Ebba Busch, givenName, Ebba]
  • A. Stina Gardell
    Stina Gardell is a Swedish film producer known for her work on documentaries, including the acclaimed biographical film "Ingrid Bergman: In Her Own Words."
  • B. Pia Lindström
    Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
  • C. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • D. Agnetha Fältskog
    Agnetha Fältskog is a Swedish singer and songwriter best known as one of the lead vocalists of the internationally successful pop group ABBA.
  • E. Kikki Danielsson
    Kikki Danielsson is a Swedish country and dansband singer best known for her successful solo career and multiple appearances in the Eurovision Song Contest and Melodifestivalen.
  • 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: Ebba
Triple: [Ebba Busch, givenName, Ebba]
Generated description
Ebba is a Scandinavian feminine given name, particularly common in Sweden and Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ebba
Target entity description: Ebba is a Scandinavian feminine given name, particularly common in Sweden and Denmark.
  • A. Stina Gardell
    Stina Gardell is a Swedish film producer known for her work on documentaries, including the acclaimed biographical film "Ingrid Bergman: In Her Own Words."
  • B. Pia Lindström
    Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
  • C. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • D. Agnetha Fältskog
    Agnetha Fältskog is a Swedish singer and songwriter best known as one of the lead vocalists of the internationally successful pop group ABBA.
  • E. Kikki Danielsson
    Kikki Danielsson is a Swedish country and dansband singer best known for her successful solo career and multiple appearances in the Eurovision Song Contest and Melodifestivalen.
  • 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_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.
NEDg Description generation batch_69cdcc8596888190867bb0f298b6fac1 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd14de9408190a5522fbdbef4d748 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 5:57 p.m.