Triple

T880030
Position Surface form Disambiguated ID Type / Status
Subject Joost van den Vondel E19004 entity
Predicate givenName P17 FINISHED
Object Joost
Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
E102852 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: Joost | Statement: [Joost van den Vondel, givenName, Joost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joost
Context triple: [Joost van den Vondel, givenName, Joost]
  • A. Adam Pijnacker
    Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
  • B. Koops
    Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Peter Linss
    Peter Linss is a web standards engineer best known for his leadership roles in the development of core web technologies, including chairing influential groups within the World Wide Web Consortium (W3C).
  • E. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • 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: Joost
Triple: [Joost van den Vondel, givenName, Joost]
Generated description
Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joost
Target entity description: Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
  • A. Adam Pijnacker
    Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
  • B. Koops
    Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Peter Linss
    Peter Linss is a web standards engineer best known for his leadership roles in the development of core web technologies, including chairing influential groups within the World Wide Web Consortium (W3C).
  • E. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85630f081909f3a912d54dd328c completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b8de773c8190a993b057dfe3693e completed March 4, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9793dd48190869b3499fe170efd completed March 4, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:39 p.m.