Triple

T9465026
Position Surface form Disambiguated ID Type / Status
Subject Clinton Sundberg E228248 entity
Predicate hasFamilyName P18 FINISHED
Object Sundberg
Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
E800736 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: Sundberg | Statement: [Clinton Sundberg, hasFamilyName, Sundberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundberg
Context triple: [Clinton Sundberg, hasFamilyName, Sundberg]
  • A. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • B. Sollerud
    Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
  • C. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • D. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • E. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • 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: Sundberg
Triple: [Clinton Sundberg, hasFamilyName, Sundberg]
Generated description
Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sundberg
Target entity description: Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
  • A. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • B. Sollerud
    Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
  • C. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • D. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • E. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdad3c4819083b06f1b45acc85a completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122b1440c81909de61d4e72eb93f4 completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d12381d9b08190bb1453ee510f8af7 completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d123e548e88190a85c8b3822879b72 completed April 4, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:53 p.m.