Triple

T2941268
Position Surface form Disambiguated ID Type / Status
Subject Vasa Museum E79390 entity
Predicate architect P184 FINISHED
Object Marianne Dahlbäck
Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
 E316616 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: Marianne Dahlbäck | Statement: [Vasa Museum, architect, Marianne Dahlbäck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marianne Dahlbäck
Context triple: [Vasa Museum, architect, Marianne Dahlbäck]
  • A. Åsa Larsson
    Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
  • B. Annette Ekblom
    Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
  • C. Ylva Johansson
    Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
  • D. Therese Andersson
    Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
  • E. Majgull Axelsson
    Majgull Axelsson is a Swedish journalist and award-winning author known for her socially engaged novels that often explore themes of injustice and marginalized lives.
  • 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: Marianne Dahlbäck
Triple: [Vasa Museum, architect, Marianne Dahlbäck]
Generated description
Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marianne Dahlbäck
Target entity description: Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
  • A. Åsa Larsson
    Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
  • B. Annette Ekblom
    Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
  • C. Ylva Johansson
    Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
  • D. Therese Andersson
    Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
  • E. Majgull Axelsson
    Majgull Axelsson is a Swedish journalist and award-winning author known for her socially engaged novels that often explore themes of injustice and marginalized lives.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9870e5d08190b3b277ba823fe6a1 completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108d4e5408190a0dd3728c5cf6a47 completed March 11, 2026, 6:16 a.m.
NEDg Description generation batch_69b10ccadf608190b2032ebb51271c90 completed March 11, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69b10d3e846481909a4342d844071040 completed March 11, 2026, 6:35 a.m.
Created at: March 8, 2026, 2:56 p.m.