Triple

T16649676
Position Surface form Disambiguated ID Type / Status
Subject Lindström E404567 entity
Predicate hasNotableBearer P458 FINISHED
Object Yngve Lindström
Yngve Lindström is a person notable enough to be recognized as a significant bearer of the surname Lindström.
E1247318 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: Yngve Lindström | Statement: [Lindström, hasNotableBearer, Yngve Lindström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yngve Lindström
Context triple: [Lindström, hasNotableBearer, Yngve Lindström]
  • A. Bengt Nilsson
    Bengt Nilsson is a Swedish high jumper who won the gold medal at the 1954 European Championships and briefly held the world record in the event.
  • B. Staffan Lindström
    Staffan Lindström is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Lindström.
  • C. Sigfrid Edström
    Sigfrid Edström was a Swedish industrialist and sports administrator who served as president of the International Olympic Committee in the mid-20th century.
  • D. Bengt Jansson
    Bengt Jansson is a Swedish former speedway rider known for competing at international level during the 1960s and 1970s.
  • E. Göran Lennmarker
    Göran Lennmarker is a Swedish politician known for his long service in the Riksdag and his work on foreign affairs and security policy.
  • 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: Yngve Lindström
Triple: [Lindström, hasNotableBearer, Yngve Lindström]
Generated description
Yngve Lindström is a person notable enough to be recognized as a significant bearer of the surname Lindström.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yngve Lindström
Target entity description: Yngve Lindström is a person notable enough to be recognized as a significant bearer of the surname Lindström.
  • A. Bengt Nilsson
    Bengt Nilsson is a Swedish high jumper who won the gold medal at the 1954 European Championships and briefly held the world record in the event.
  • B. Staffan Lindström
    Staffan Lindström is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Lindström.
  • C. Sigfrid Edström
    Sigfrid Edström was a Swedish industrialist and sports administrator who served as president of the International Olympic Committee in the mid-20th century.
  • D. Bengt Jansson
    Bengt Jansson is a Swedish former speedway rider known for competing at international level during the 1960s and 1970s.
  • E. Göran Lennmarker
    Göran Lennmarker is a Swedish politician known for his long service in the Riksdag and his work on foreign affairs and security policy.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad85ec881909dc6a434a363dab1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0123257b908190819986393cb35748 completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a012433d4e08190a0e0cb9c82105340 completed May 11, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_6a01248b53d88190a4ec4fa6cee89bb1 completed May 11, 2026, 12:36 a.m.
Created at: April 10, 2026, 5:18 a.m.