Triple

T7550338
Position Surface form Disambiguated ID Type / Status
Subject Kasteel de Haar (restoration and redesign) E178514 entity
Predicate patron P2320 FINISHED
Object Etienne van Zuylen van Nijevelt
Etienne van Zuylen van Nijevelt was a Dutch nobleman and member of the aristocratic Van Zuylen family, known for his role in the late 19th-century revival and enhancement of historic estates such as Kasteel de Haar.
E677358 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: Etienne van Zuylen van Nijevelt | Statement: [Kasteel de Haar (restoration and redesign), patron, Etienne van Zuylen van Nijevelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etienne van Zuylen van Nijevelt
Context triple: [Kasteel de Haar (restoration and redesign), patron, Etienne van Zuylen van Nijevelt]
  • A. Willem van Ruytenburch
    Willem van Ruytenburch was a 17th-century Dutch militiaman and civic leader best known as the lieutenant in Rembrandt’s famous painting commonly known as "The Night Watch."
  • B. Reinier de Graaf
    Reinier de Graaf was a 17th-century Dutch physician and anatomist renowned for his pioneering research on the female reproductive system and the discovery of ovarian follicles (now called Graafian follicles).
  • C. Reinier de Graaf
    Reinier de Graaf is a Dutch architect and partner at the Office for Metropolitan Architecture, known for his work on large-scale urban projects and his critical writings on contemporary architecture and urbanism.
  • D. Jacob van Wassenaer Obdam
    Jacob van Wassenaer Obdam was a 17th-century Dutch admiral and nobleman who served as a leading naval commander of the Dutch Republic during the Anglo-Dutch Wars.
  • E. Jonkheer Carel Herman Aart van der Wijck
    Jonkheer Carel Herman Aart van der Wijck was a Dutch colonial administrator and nobleman who served as a prominent Governor-General overseeing the Dutch East Indies at the turn of the 20th century.
  • 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: Etienne van Zuylen van Nijevelt
Triple: [Kasteel de Haar (restoration and redesign), patron, Etienne van Zuylen van Nijevelt]
Generated description
Etienne van Zuylen van Nijevelt was a Dutch nobleman and member of the aristocratic Van Zuylen family, known for his role in the late 19th-century revival and enhancement of historic estates such as Kasteel de Haar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Etienne van Zuylen van Nijevelt
Target entity description: Etienne van Zuylen van Nijevelt was a Dutch nobleman and member of the aristocratic Van Zuylen family, known for his role in the late 19th-century revival and enhancement of historic estates such as Kasteel de Haar.
  • A. Willem van Ruytenburch
    Willem van Ruytenburch was a 17th-century Dutch militiaman and civic leader best known as the lieutenant in Rembrandt’s famous painting commonly known as "The Night Watch."
  • B. Reinier de Graaf
    Reinier de Graaf was a 17th-century Dutch physician and anatomist renowned for his pioneering research on the female reproductive system and the discovery of ovarian follicles (now called Graafian follicles).
  • C. Reinier de Graaf
    Reinier de Graaf is a Dutch architect and partner at the Office for Metropolitan Architecture, known for his work on large-scale urban projects and his critical writings on contemporary architecture and urbanism.
  • D. Jacob van Wassenaer Obdam
    Jacob van Wassenaer Obdam was a 17th-century Dutch admiral and nobleman who served as a leading naval commander of the Dutch Republic during the Anglo-Dutch Wars.
  • E. Jonkheer Carel Herman Aart van der Wijck
    Jonkheer Carel Herman Aart van der Wijck was a Dutch colonial administrator and nobleman who served as a prominent Governor-General overseeing the Dutch East Indies at the turn of the 20th century.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b50e5c8190817c1e968294d1ad completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870741e2481909020633203003a68 completed March 29, 2026, 12:21 a.m.
NEDg Description generation batch_69c871b98f408190bc7fba4174732af7 completed March 29, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_69c87238848c819091d5c5ba874c210b completed March 29, 2026, 12:28 a.m.
Created at: March 27, 2026, 3:49 p.m.