Triple

T7013470
Position Surface form Disambiguated ID Type / Status
Subject Vernor Vinge E162641 entity
Predicate familyName P18 FINISHED
Object Vinge
Vinge is a surname most notably associated with Vernor Vinge, the American science fiction author and mathematician known for popularizing the concept of the technological singularity.
 E636311 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: Vinge | Statement: [Vernor Vinge, familyName, Vinge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vinge
Context triple: [Vernor Vinge, familyName, Vinge]
  • A. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • B. Vadsø
    Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
  • C. Sundbyøster
    Sundbyøster is a district of Copenhagen located on the island of Amager, known primarily as a residential urban area.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Abildsø
    Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
  • 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: Vinge
Triple: [Vernor Vinge, familyName, Vinge]
Generated description
Vinge is a surname most notably associated with Vernor Vinge, the American science fiction author and mathematician known for popularizing the concept of the technological singularity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vinge
Target entity description: Vinge is a surname most notably associated with Vernor Vinge, the American science fiction author and mathematician known for popularizing the concept of the technological singularity.
  • A. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • B. Vadsø
    Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
  • C. Sundbyøster
    Sundbyøster is a district of Copenhagen located on the island of Amager, known primarily as a residential urban area.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Abildsø
    Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc59cbfc8190bba9ebd14143d43c completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775656fe48190a9690f5aaca3ba4c completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c7774e453881909df31386a911cfa4 completed March 28, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c777d9c29c81908a816aed059ecc96 completed March 28, 2026, 6:40 a.m.
Created at: March 27, 2026, 2:34 p.m.