Triple

T10392470
Position Surface form Disambiguated ID Type / Status
Subject Agnetha Fältskog E244925 entity
Predicate birthName P65 FINISHED
Object Agneta Åse Fältskog
Agneta Åse Fältskog is a Swedish singer, songwriter, and member of the internationally renowned pop group ABBA.
 E861556 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: Agneta Åse Fältskog | Statement: [Agnetha Fältskog, birthName, Agneta Åse Fältskog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agneta Åse Fältskog
Context triple: [Agnetha Fältskog, birthName, Agneta Åse Fältskog]
  • A. Agneta Ekmanner
    Agneta Ekmanner is a Swedish actress known for her work in film and television, and for having been married to renowned tenor Nicolai Gedda.
  • B. Margareta Wästberg
    Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
  • C. Gudrun Rydstedt
    Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
  • D. 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."
  • E. Signe Hammarsten-Jansson
    Signe Hammarsten-Jansson was a Swedish-Finnish illustrator and graphic artist best known as the mother of Moomin creator Tove Jansson and for her influential work in Finnish stamp and book illustration.
  • 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: Agneta Åse Fältskog
Triple: [Agnetha Fältskog, birthName, Agneta Åse Fältskog]
Generated description
Agneta Åse Fältskog is a Swedish singer, songwriter, and member of the internationally renowned pop group ABBA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agneta Åse Fältskog
Target entity description: Agneta Åse Fältskog is a Swedish singer, songwriter, and member of the internationally renowned pop group ABBA.
  • A. Agneta Ekmanner
    Agneta Ekmanner is a Swedish actress known for her work in film and television, and for having been married to renowned tenor Nicolai Gedda.
  • B. Margareta Wästberg
    Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
  • C. Gudrun Rydstedt
    Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
  • D. 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."
  • E. Signe Hammarsten-Jansson
    Signe Hammarsten-Jansson was a Swedish-Finnish illustrator and graphic artist best known as the mother of Moomin creator Tove Jansson and for her influential work in Finnish stamp and book illustration.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b6c750819087678bf81a3ef806 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbae9a9c81908178fca68eb142b6 completed April 9, 2026, 7:19 p.m.
NEDg Description generation batch_69d822d303888190aa556287b3b1cc03 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859b05a3881908c97cb173d160e44 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 12:06 p.m.