Triple

T7733527
Position Surface form Disambiguated ID Type / Status
Subject Pär Lagerkvist E175322 entity
Predicate familyName P18 FINISHED
Object Lagerkvist
Lagerkvist is a Swedish surname most famously borne by Nobel Prize–winning author Pär Lagerkvist.
E684956 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: Lagerkvist | Statement: [Pär Lagerkvist, familyName, Lagerkvist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagerkvist
Context triple: [Pär Lagerkvist, familyName, Lagerkvist]
  • A. Ragnar Skanåker
    Ragnar Skanåker is a Swedish sport shooter renowned for his multiple Olympic medals and exceptionally long competitive career spanning several decades.
  • B. Erik Axelsson Tott
    Erik Axelsson Tott was a 15th-century Swedish nobleman and statesman from the influential Tott family who played a key role in the politics of the Kalmar Union era.
  • C. Lonborg
    Lonborg is a surname most notably associated with Dutch Lonborg, an American basketball player, coach, and Hall of Fame athletic administrator.
  • D. Hjalmar Nyström
    Hjalmar Nyström was a Finnish Greco-Roman wrestler who won multiple Olympic and European Championship medals in the early 20th century.
  • E. Magnus Westerlund
    Magnus Westerlund is a networking and real-time communications expert known for his leadership roles in Internet standards development, particularly within the IETF.
  • 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: Lagerkvist
Triple: [Pär Lagerkvist, familyName, Lagerkvist]
Generated description
Lagerkvist is a Swedish surname most famously borne by Nobel Prize–winning author Pär Lagerkvist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lagerkvist
Target entity description: Lagerkvist is a Swedish surname most famously borne by Nobel Prize–winning author Pär Lagerkvist.
  • A. Ragnar Skanåker
    Ragnar Skanåker is a Swedish sport shooter renowned for his multiple Olympic medals and exceptionally long competitive career spanning several decades.
  • B. Erik Axelsson Tott
    Erik Axelsson Tott was a 15th-century Swedish nobleman and statesman from the influential Tott family who played a key role in the politics of the Kalmar Union era.
  • C. Lonborg
    Lonborg is a surname most notably associated with Dutch Lonborg, an American basketball player, coach, and Hall of Fame athletic administrator.
  • D. Hjalmar Nyström
    Hjalmar Nyström was a Finnish Greco-Roman wrestler who won multiple Olympic and European Championship medals in the early 20th century.
  • E. Magnus Westerlund
    Magnus Westerlund is a networking and real-time communications expert known for his leadership roles in Internet standards development, particularly within the IETF.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70339c4b481909a56ae13f501e794 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b534b6588190885db4632b97775f completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b6b440dc81908c4989ed86554ddf completed March 29, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69c8b77fbd448190a7d96aada94e818d completed March 29, 2026, 5:24 a.m.
Created at: March 27, 2026, 4:06 p.m.