Triple

T15227318
Position Surface form Disambiguated ID Type / Status
Subject Nilsson E363907 entity
Predicate hasNotableBearer P458 FINISHED
Object Stefan Nilsson
Stefan Nilsson is a Swedish sport shooter who has represented Sweden in international competitions, including the Olympic Games.
E1182233 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: Stefan Nilsson | Statement: [Nilsson, hasNotableBearer, Stefan Nilsson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan Nilsson
Context triple: [Nilsson, hasNotableBearer, Stefan Nilsson]
  • A. Sven Nilsson
    Sven Nilsson is a Swedish zoologist and archaeologist known for his influential 19th-century studies of Scandinavian fauna and prehistoric cultures.
  • B. Mats Nilsson
    Mats Nilsson is a Swedish given name bearer whose specific notability is unclear without additional context, as several individuals with this name are known in fields such as sports, academia, and the arts.
  • C. Bo Nilsson
    Bo Nilsson is a Swedish composer known for his avant-garde and serialist works that gained prominence in the mid-20th century.
  • D. Carl Nilsson
    Carl Nilsson is a personal name shared by several individuals, most commonly of Scandinavian origin.
  • E. Johan Nilsson
    Johan Nilsson is a relatively common Scandinavian personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
  • 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: Stefan Nilsson
Triple: [Nilsson, hasNotableBearer, Stefan Nilsson]
Generated description
Stefan Nilsson is a Swedish sport shooter who has represented Sweden in international competitions, including the Olympic Games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stefan Nilsson
Target entity description: Stefan Nilsson is a Swedish sport shooter who has represented Sweden in international competitions, including the Olympic Games.
  • A. Sven Nilsson
    Sven Nilsson is a Swedish zoologist and archaeologist known for his influential 19th-century studies of Scandinavian fauna and prehistoric cultures.
  • B. Mats Nilsson
    Mats Nilsson is a Swedish given name bearer whose specific notability is unclear without additional context, as several individuals with this name are known in fields such as sports, academia, and the arts.
  • C. Bo Nilsson
    Bo Nilsson is a Swedish composer known for his avant-garde and serialist works that gained prominence in the mid-20th century.
  • D. Carl Nilsson
    Carl Nilsson is a personal name shared by several individuals, most commonly of Scandinavian origin.
  • E. Johan Nilsson
    Johan Nilsson is a relatively common Scandinavian personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078bb32881909927561c6c072546 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02f505c81908e3982b67456e81c completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0be9fa88190ab691c4c1d845ea9 completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb12f3e4c8190be983f00ae1d5160 completed May 9, 2026, 10:11 p.m.
Created at: April 10, 2026, 3:12 a.m.