Triple

T16104845
Position Surface form Disambiguated ID Type / Status
Subject Torsten Söderberg Foundation E390712 entity
Predicate namedAfter P63 FINISHED
Object Torsten Söderberg E1209705 NE FINISHED

How this triple was built (2 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: Torsten Söderberg | Statement: [Torsten Söderberg Foundation, namedAfter, Torsten Söderberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torsten Söderberg
Context triple: [Torsten Söderberg Foundation, namedAfter, Torsten Söderberg]
  • A. Torsten Söderberg chosen
    Torsten Söderberg was a Swedish businessman and philanthropist known for his significant contributions to research, culture, and society through the foundation bearing his name.
  • 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. Johan Söderqvist
    Johan Söderqvist is a Swedish film composer known for his atmospheric and emotionally nuanced scores for Scandinavian and international cinema.
  • D. Sture Lindgren
    Sture Lindgren was the husband of renowned Swedish author Astrid Lindgren and worked as a businessman in Sweden.
  • E. Göran Tunström
    Göran Tunström was a Swedish novelist and poet known for his lyrical prose and explorations of memory, faith, and small-town life, particularly in works like "The Christmas Oratorio."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6b91a48190a04648d4cad2c4b1 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c44fe7c81908eb32c0b0967365f completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5 a.m.