Triple

T7482743
Position Surface form Disambiguated ID Type / Status
Subject Göran Persson E176800 entity
Predicate spouse P13 FINISHED
Object Gunnel Persson
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
E666799 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: Gunnel Persson | Statement: [Göran Persson, spouse, Gunnel Persson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunnel Persson
Context triple: [Göran Persson, spouse, Gunnel Persson]
  • A. 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."
  • B. Lisa Persdotter
    Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
  • C. Heléne Andersson
    Heléne Andersson is known as one of the children of Benny Andersson, the Swedish musician and composer from the pop group ABBA.
  • D. Karin Hansson
    Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
  • E. Kerstin Ekman
    Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
  • 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: Gunnel Persson
Triple: [Göran Persson, spouse, Gunnel Persson]
Generated description
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gunnel Persson
Target entity description: Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
  • A. 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."
  • B. Lisa Persdotter
    Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
  • C. Heléne Andersson
    Heléne Andersson is known as one of the children of Benny Andersson, the Swedish musician and composer from the pop group ABBA.
  • D. Karin Hansson
    Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
  • E. Kerstin Ekman
    Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5374bb08190bdf6ca72a3d0cd1c completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83498965481909367681b63c5db63 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c835cf7a58819095ed79b84f935a84 completed March 28, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_69c8366b2fcc8190bd8b07a54a848721 completed March 28, 2026, 8:13 p.m.
Created at: March 27, 2026, 3:42 p.m.