Triple

T19850834
Position Surface form Disambiguated ID Type / Status
Subject First Aid Kit E476987 entity
Predicate hasMember P10 FINISHED
Object Klara Söderberg
Klara Söderberg is a Swedish singer-songwriter best known as one half of the folk duo First Aid Kit, recognized for their rich harmonies and Americana-inspired sound.
 E1408210 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: Klara Söderberg | Statement: [First Aid Kit, hasMember, Klara Söderberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klara Söderberg
Context triple: [First Aid Kit, hasMember, Klara Söderberg]
  • A. 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.
  • B. Kristina Edström
    Kristina Edström is a Swedish chemist and professor renowned for her research on battery technology and energy storage materials.
  • C. Greta Lindström
    Greta Lindström is a Swedish actress known for her roles in early 20th-century Scandinavian cinema.
  • D. Åsa Larsson
    Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
  • E. Åsa Persson
    Åsa Persson is a sustainability and environmental governance scholar known for her contributions to global environmental policy and planetary boundaries research.
  • 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: Klara Söderberg
Triple: [First Aid Kit, hasMember, Klara Söderberg]
Generated description
Klara Söderberg is a Swedish singer-songwriter best known as one half of the folk duo First Aid Kit, recognized for their rich harmonies and Americana-inspired sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klara Söderberg
Target entity description: Klara Söderberg is a Swedish singer-songwriter best known as one half of the folk duo First Aid Kit, recognized for their rich harmonies and Americana-inspired sound.
  • A. 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.
  • B. Kristina Edström
    Kristina Edström is a Swedish chemist and professor renowned for her research on battery technology and energy storage materials.
  • C. Greta Lindström
    Greta Lindström is a Swedish actress known for her roles in early 20th-century Scandinavian cinema.
  • D. Åsa Larsson
    Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
  • E. Åsa Persson
    Åsa Persson is a sustainability and environmental governance scholar known for her contributions to global environmental policy and planetary boundaries research.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65868ccbc8190b879e9763706c1c5 completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0815ec119c819098c74ab293a50d8d completed May 16, 2026, 6:59 a.m.
NEDg Description generation batch_6a08170f692c8190819a75521101fccb completed May 16, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_6a081753efc88190b3fa2ea810f93220 completed May 16, 2026, 7:05 a.m.
Created at: April 10, 2026, 1:51 p.m.