Triple

T4478388
Position Surface form Disambiguated ID Type / Status
Subject Nathan Söderblom E100066 entity
Predicate familyName P18 FINISHED
Object Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
E441827 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: Söderblom | Statement: [Nathan Söderblom, familyName, Söderblom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Söderblom
Context triple: [Nathan Söderblom, familyName, Söderblom]
  • A. 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.
  • B. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • 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. Norrström
    Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
  • 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: Söderblom
Triple: [Nathan Söderblom, familyName, Söderblom]
Generated description
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Söderblom
Target entity description: Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • A. 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.
  • B. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • 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. Norrström
    Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356d9d1d08190b3f9356eefd237dc completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62888ea508190a052c0b2edee7fca completed March 15, 2026, 3:33 a.m.
NEDg Description generation batch_69b6295721d881908d49ce1944e0ed17 completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62a3e9d1c8190a613726d45622406 completed March 15, 2026, 3:40 a.m.
Created at: March 12, 2026, 11:35 p.m.