Triple

T9887520
Position Surface form Disambiguated ID Type / Status
Subject Lars Gyllensten E180972 entity
Predicate familyName P18 FINISHED
Object Gyllensten
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
 E827431 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: Gyllensten | Statement: [Lars Gyllensten, familyName, Gyllensten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gyllensten
Context triple: [Lars Gyllensten, familyName, Gyllensten]
  • A. Leijonborg
    Leijonborg is a Swedish surname most notably associated with politician Lars Leijonborg, a former leader of the Liberal People's Party in Sweden.
  • B. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • C. Göran
    Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
  • D. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • E. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • 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: Gyllensten
Triple: [Lars Gyllensten, familyName, Gyllensten]
Generated description
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gyllensten
Target entity description: Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
  • A. Leijonborg
    Leijonborg is a Swedish surname most notably associated with politician Lars Leijonborg, a former leader of the Liberal People's Party in Sweden.
  • B. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • C. Göran
    Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
  • D. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • E. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb457c8cc81909d211d5882228076 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb0314108190b35906592a11727e completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ebec25508190ac4c0adb629f79b0 completed April 5, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d1ec65d5e881909e4caa180b0f8867 completed April 5, 2026, 5 a.m.
Created at: March 30, 2026, 8:39 p.m.