Triple

T15889079
Position Surface form Disambiguated ID Type / Status
Subject Wiebe E385267 entity
Predicate hasNotableBearer P458 FINISHED
Object Wiebe Nijenhuis
Wiebe Nijenhuis is a notable bearer of the Frisian given name Wiebe, recognized for helping exemplify the name’s cultural and regional usage.
E1207066 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: Wiebe Nijenhuis | Statement: [Wiebe, hasNotableBearer, Wiebe Nijenhuis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiebe Nijenhuis
Context triple: [Wiebe, hasNotableBearer, Wiebe Nijenhuis]
  • A. Wiebe Draijer
    Wiebe Draijer is a Dutch business executive and former journalist best known for serving as chairman of the executive boards of Rabobank and the Social and Economic Council of the Netherlands (SER).
  • B. Wim de Wit
    Wim de Wit is a Dutch art historian and curator known for his work on modern architecture and design.
  • C. Barend Biesheuvel
    Barend Biesheuvel was a Dutch politician of the Anti-Revolutionary Party who served as Prime Minister of the Netherlands from 1971 to 1973.
  • D. Frank van der Meijden
    Frank van der Meijden is a Dutch local politician who serves as the mayor of the municipality of Laarbeek in the Netherlands.
  • E. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • 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: Wiebe Nijenhuis
Triple: [Wiebe, hasNotableBearer, Wiebe Nijenhuis]
Generated description
Wiebe Nijenhuis is a notable bearer of the Frisian given name Wiebe, recognized for helping exemplify the name’s cultural and regional usage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiebe Nijenhuis
Target entity description: Wiebe Nijenhuis is a notable bearer of the Frisian given name Wiebe, recognized for helping exemplify the name’s cultural and regional usage.
  • A. Wiebe Draijer
    Wiebe Draijer is a Dutch business executive and former journalist best known for serving as chairman of the executive boards of Rabobank and the Social and Economic Council of the Netherlands (SER).
  • B. Wim de Wit
    Wim de Wit is a Dutch art historian and curator known for his work on modern architecture and design.
  • C. Barend Biesheuvel
    Barend Biesheuvel was a Dutch politician of the Anti-Revolutionary Party who served as Prime Minister of the Netherlands from 1971 to 1973.
  • D. Frank van der Meijden
    Frank van der Meijden is a Dutch local politician who serves as the mayor of the municipality of Laarbeek in the Netherlands.
  • E. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561d5c28819094c3541d917a4433 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ec39a8819081c0cf996bc59416 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00280686f881909cd2330c018a7e8d completed May 10, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a00285ad1a08190961fdef3f3f991fa completed May 10, 2026, 6:40 a.m.
Created at: April 10, 2026, 4:51 a.m.