Triple

T8223967
Position Surface form Disambiguated ID Type / Status
Subject Jelle Zijlstra E192132 entity
Predicate givenName P17 FINISHED
Object Jelle
Jelle is a Dutch given name commonly used for males, particularly in the Netherlands and Friesland.
 E719572 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: Jelle | Statement: [Jelle Zijlstra, givenName, Jelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jelle
Context triple: [Jelle Zijlstra, givenName, Jelle]
  • A. Sjoerd
    Sjoerd is a Dutch given name, most notably borne by architect Sjoerd Soeters.
  • B. Jopie
    Jopie is a given name most notably associated with Jopie Fourie, an Afrikaner rebel and national figure in early 20th-century South African history.
  • C. Wouter
    Wouter is a Dutch historian of religion and leading scholar of Western esotericism.
  • D. Leen
    Leen is the name of a river in Nottinghamshire, England, known as the River Leen, which flows through the city of Nottingham before joining the River Trent.
  • E. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • 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: Jelle
Triple: [Jelle Zijlstra, givenName, Jelle]
Generated description
Jelle is a Dutch given name commonly used for males, particularly in the Netherlands and Friesland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jelle
Target entity description: Jelle is a Dutch given name commonly used for males, particularly in the Netherlands and Friesland.
  • A. Sjoerd
    Sjoerd is a Dutch given name, most notably borne by architect Sjoerd Soeters.
  • B. Jopie
    Jopie is a given name most notably associated with Jopie Fourie, an Afrikaner rebel and national figure in early 20th-century South African history.
  • C. Wouter
    Wouter is a Dutch historian of religion and leading scholar of Western esotericism.
  • D. Leen
    Leen is the name of a river in Nottinghamshire, England, known as the River Leen, which flows through the city of Nottingham before joining the River Trent.
  • E. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cc351481908d7dcd6d3d15d59f completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee0fd9d0819094350c9c7887cabe completed April 1, 2026, 10:06 a.m.
NEDg Description generation batch_69ccf1bc720081908c4eabf58336318a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05f26f9c8190a3cc00c03c6dda95 completed April 1, 2026, 11:48 a.m.
Created at: March 30, 2026, 5:45 p.m.