Triple

T13423581
Position Surface form Disambiguated ID Type / Status
Subject Allsång på Skansen E313419 entity
Predicate hasHost P2592 FINISHED
Object Lasse Berghagen
Lasse Berghagen was a Swedish singer, songwriter, and television personality, widely known as a beloved national entertainer.
E1061529 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: Lasse Berghagen | Statement: [Allsång på Skansen, hasHost, Lasse Berghagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasse Berghagen
Context triple: [Allsång på Skansen, hasHost, Lasse Berghagen]
  • A. Stig Strömholm
    Stig Strömholm is a Swedish legal scholar, author, and academic leader who served as a prominent rector of Uppsala University.
  • B. Göran Hägglund
    Göran Hägglund is a Swedish Christian Democrat politician who served as Minister for Health and Social Affairs and leader of the Christian Democrats.
  • C. Göran Sonnevi
    Göran Sonnevi is a Swedish poet renowned for his intellectually dense, politically engaged, and formally experimental poetry.
  • D. Olle Lundin
    Olle Lundin is a film editor best known for his work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • E. Ingvar Andersson
    Ingvar Andersson was a Swedish historian and civil servant who served as the National Archivist of Sweden and contributed significantly to the study of Scandinavian history.
  • 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: Lasse Berghagen
Triple: [Allsång på Skansen, hasHost, Lasse Berghagen]
Generated description
Lasse Berghagen was a Swedish singer, songwriter, and television personality, widely known as a beloved national entertainer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lasse Berghagen
Target entity description: Lasse Berghagen was a Swedish singer, songwriter, and television personality, widely known as a beloved national entertainer.
  • A. Stig Strömholm
    Stig Strömholm is a Swedish legal scholar, author, and academic leader who served as a prominent rector of Uppsala University.
  • B. Göran Hägglund
    Göran Hägglund is a Swedish Christian Democrat politician who served as Minister for Health and Social Affairs and leader of the Christian Democrats.
  • C. Göran Sonnevi
    Göran Sonnevi is a Swedish poet renowned for his intellectually dense, politically engaged, and formally experimental poetry.
  • D. Olle Lundin
    Olle Lundin is a film editor best known for his work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • E. Ingvar Andersson
    Ingvar Andersson was a Swedish historian and civil servant who served as the National Archivist of Sweden and contributed significantly to the study of Scandinavian history.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05a6d808190bae503b177816718 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b138158c8190957d43d529c37fa4 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b1e0ab948190a046a68aa5e029a6 completed May 3, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:39 p.m.