Triple

T5217902
Position Surface form Disambiguated ID Type / Status
Subject Paavo Berglund E117798 entity
Predicate familyName P18 FINISHED
Object Berglund
Berglund is a Scandinavian surname of Swedish and Finnish origin borne by various notable individuals, including conductor Paavo Berglund.
 E502760 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: Berglund | Statement: [Paavo Berglund, familyName, Berglund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berglund
Context triple: [Paavo Berglund, familyName, Berglund]
  • A. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • B. Gnesen
    Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
  • C. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • D. Asplund
    Asplund is a Swedish surname most notably associated with architect Gunnar Asplund, a key figure in Nordic Classicism and early modernist architecture.
  • E. Hedlund
    Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
  • 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: Berglund
Triple: [Paavo Berglund, familyName, Berglund]
Generated description
Berglund is a Scandinavian surname of Swedish and Finnish origin borne by various notable individuals, including conductor Paavo Berglund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berglund
Target entity description: Berglund is a Scandinavian surname of Swedish and Finnish origin borne by various notable individuals, including conductor Paavo Berglund.
  • A. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • B. Gnesen
    Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
  • C. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • D. Asplund
    Asplund is a Swedish surname most notably associated with architect Gunnar Asplund, a key figure in Nordic Classicism and early modernist architecture.
  • E. Hedlund
    Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0bfd76c8190ab48fed23b21c70b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef168c2088190bba7fce5219b0d1f completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.