Triple

T8012690
Position Surface form Disambiguated ID Type / Status
Subject Eva Dahlgren E186531 entity
Predicate spouse P13 FINISHED
Object Efva Attling
Efva Attling is a Swedish jewelry designer and former model and musician, renowned for her contemporary, message-driven designs.
E707452 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: Efva Attling | Statement: [Eva Dahlgren, spouse, Efva Attling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Efva Attling
Context triple: [Eva Dahlgren, spouse, Efva Attling]
  • A. Ellen Benrath
    Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
  • B. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • C. Annette Atkins
    Annette Atkins is a fictional teenage beauty pageant contestant and the central protagonist of the dark comedy film "Drop Dead Gorgeous."
  • D. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • E. Anne Juergens
    Anne Juergens is a central character on the teen drama series "The Secret Life of the American Teenager," portrayed as the conflicted but caring mother navigating family upheaval and personal growth.
  • 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: Efva Attling
Triple: [Eva Dahlgren, spouse, Efva Attling]
Generated description
Efva Attling is a Swedish jewelry designer and former model and musician, renowned for her contemporary, message-driven designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Efva Attling
Target entity description: Efva Attling is a Swedish jewelry designer and former model and musician, renowned for her contemporary, message-driven designs.
  • A. Ellen Benrath
    Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
  • B. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • C. Annette Atkins
    Annette Atkins is a fictional teenage beauty pageant contestant and the central protagonist of the dark comedy film "Drop Dead Gorgeous."
  • D. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • E. Anne Juergens
    Anne Juergens is a central character on the teen drama series "The Secret Life of the American Teenager," portrayed as the conflicted but caring mother navigating family upheaval and personal growth.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d73bf048190ad8066a7e95c34b0 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56acfcf88190a0e694f60f2907d2 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58a9e94081908980e2c60be38642 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.