Triple

T15169511
Position Surface form Disambiguated ID Type / Status
Subject Schippers E362446 entity
Predicate hasNotableBearer P458 FINISHED
Object Jan Schippers
Jan Schippers is a notable individual recognized for bearing the Dutch surname Schippers.
E1158893 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: Jan Schippers | Statement: [Schippers, hasNotableBearer, Jan Schippers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Schippers
Context triple: [Schippers, hasNotableBearer, Jan Schippers]
  • A. Kees Schippers
    Kees Schippers was a Dutch poet, novelist, and art critic known for his playful, conceptual approach to language and everyday reality.
  • B. Jan-Berend Wolters
    Jan-Berend Wolters was a Dutch publisher and entrepreneur best known as the founder of the international information services company Wolters Kluwer.
  • C. Henk Schippers
    Henk Schippers is a Dutch poet, writer, and conceptual artist associated with the Fluxus movement and known for his experimental, language-focused works.
  • D. Wim Schippers
    Wim Schippers is a Dutch artist, writer, comedian, and television producer known for his absurdist humor and influential work in experimental art and Dutch TV comedy.
  • E. Jan Kleyna
    Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
  • 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: Jan Schippers
Triple: [Schippers, hasNotableBearer, Jan Schippers]
Generated description
Jan Schippers is a notable individual recognized for bearing the Dutch surname Schippers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan Schippers
Target entity description: Jan Schippers is a notable individual recognized for bearing the Dutch surname Schippers.
  • A. Kees Schippers
    Kees Schippers was a Dutch poet, novelist, and art critic known for his playful, conceptual approach to language and everyday reality.
  • B. Jan-Berend Wolters
    Jan-Berend Wolters was a Dutch publisher and entrepreneur best known as the founder of the international information services company Wolters Kluwer.
  • C. Henk Schippers
    Henk Schippers is a Dutch poet, writer, and conceptual artist associated with the Fluxus movement and known for his experimental, language-focused works.
  • D. Wim Schippers
    Wim Schippers is a Dutch artist, writer, comedian, and television producer known for his absurdist humor and influential work in experimental art and Dutch TV comedy.
  • E. Jan Kleyna
    Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064dba588190a4341775b472a6d3 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce894548190a19bab33285ad165 completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2e1fb27c81908de0d755bf30c833 completed May 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f3ab6988190b4cefe2f55c4101c completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:08 a.m.