Triple

T8593376
Position Surface form Disambiguated ID Type / Status
Subject Jansson E203483 entity
Predicate hasNotableBearer P458 FINISHED
Object Bengt Jansson
Bengt Jansson is a Swedish former speedway rider known for competing at international level during the 1960s and 1970s.
E751911 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: Bengt Jansson | Statement: [Jansson, hasNotableBearer, Bengt Jansson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengt Jansson
Context triple: [Jansson, hasNotableBearer, Bengt Jansson]
  • A. Bertil Ohlsson
    Bertil Ohlsson is a film producer best known for his work on the acclaimed drama "What's Eating Gilbert Grape."
  • B. Torgny Segerstedt
    Torgny Segerstedt was a Swedish philosopher and academic leader best known for serving as rector of Uppsala University and for his influence on higher education in Sweden.
  • C. Gunnar Wetterberg
    Gunnar Wetterberg is a Swedish historian, author, and former diplomat known for his popular works on Nordic history and biographies of prominent Scandinavian figures.
  • D. 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.
  • E. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • 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: Bengt Jansson
Triple: [Jansson, hasNotableBearer, Bengt Jansson]
Generated description
Bengt Jansson is a Swedish former speedway rider known for competing at international level during the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bengt Jansson
Target entity description: Bengt Jansson is a Swedish former speedway rider known for competing at international level during the 1960s and 1970s.
  • A. Bertil Ohlsson
    Bertil Ohlsson is a film producer best known for his work on the acclaimed drama "What's Eating Gilbert Grape."
  • B. Torgny Segerstedt
    Torgny Segerstedt was a Swedish philosopher and academic leader best known for serving as rector of Uppsala University and for his influence on higher education in Sweden.
  • C. Gunnar Wetterberg
    Gunnar Wetterberg is a Swedish historian, author, and former diplomat known for his popular works on Nordic history and biographies of prominent Scandinavian figures.
  • D. 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.
  • E. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4668b49481908838579e9876c1ec completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3332a008190bbeba37bcfc355cb completed April 2, 2026, 10:52 p.m.
NEDg Description generation batch_69cef52000048190bc5451cfb6446ced completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef809df548190b4f9ecc709b3b065 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 6:23 p.m.