Triple

T8715636
Position Surface form Disambiguated ID Type / Status
Subject Andersen E206886 entity
Predicate hasNotableBearer P458 FINISHED
Object Viggo Kampmann Andersen
Viggo Kampmann Andersen is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Andersen.
E754935 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: Viggo Kampmann Andersen | Statement: [Andersen, hasNotableBearer, Viggo Kampmann Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viggo Kampmann Andersen
Context triple: [Andersen, hasNotableBearer, Viggo Kampmann Andersen]
  • A. Ole Christensen
    Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
  • B. Knud Olsen
    Knud Olsen was a Norwegian shipbuilder best known for constructing the polar exploration vessel Gjøa used by Roald Amundsen.
  • C. Jorgen Holmboe
    Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
  • D. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • E. Poul Reichhardt
    Poul Reichhardt was a prominent Danish film and stage actor, especially known for his roles in classic Danish comedies and dramas from the 1930s through the 1960s.
  • 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: Viggo Kampmann Andersen
Triple: [Andersen, hasNotableBearer, Viggo Kampmann Andersen]
Generated description
Viggo Kampmann Andersen is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Andersen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Viggo Kampmann Andersen
Target entity description: Viggo Kampmann Andersen is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Andersen.
  • A. Ole Christensen
    Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
  • B. Knud Olsen
    Knud Olsen was a Norwegian shipbuilder best known for constructing the polar exploration vessel Gjøa used by Roald Amundsen.
  • C. Jorgen Holmboe
    Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
  • D. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • E. Poul Reichhardt
    Poul Reichhardt was a prominent Danish film and stage actor, especially known for his roles in classic Danish comedies and dramas from the 1930s through the 1960s.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd807cc819090b58caf285b397a completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42998df88190a6eba28c2efb2030 completed April 3, 2026, 4:31 a.m.
NEDg Description generation batch_69cf448b65a88190944689160e734866 completed April 3, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf4578473081909fc55632c366a56a completed April 3, 2026, 4:43 a.m.
Created at: March 30, 2026, 6:35 p.m.