Triple

T7657231
Position Surface form Disambiguated ID Type / Status
Subject Nicolaes E173413 entity
Predicate usedBy P260 FINISHED
Object Nicolaes de Kemp
Nicolaes de Kemp was a historical figure, likely from the Dutch or Flemish region, about whom only limited specific information is readily available.
 E691396 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: Nicolaes de Kemp | Statement: [Nicolaes, usedBy, Nicolaes de Kemp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicolaes de Kemp
Context triple: [Nicolaes, usedBy, Nicolaes de Kemp]
  • A. Nicolaes de Vree
    Nicolaes de Vree was a Dutch Golden Age painter known for his landscapes and still lifes.
  • B. Cornelis van der Meulen
    Cornelis van der Meulen is a relatively obscure historical figure known primarily through records that note him as a notable bearer of the Dutch given name Cornelis.
  • C. Dirck van Bleyswijck
    Dirck van Bleyswijck was a 17th-century Dutch writer and city official from Delft, best known for his detailed topographical and historical description of the city.
  • D. Nicolaes de Giselaer
    Nicolaes de Giselaer was a Dutch Golden Age painter and draughtsman known for his architectural views and detailed cityscapes.
  • E. Nicolaes van Gelder
    Nicolaes van Gelder was a 17th-century Dutch painter known for his still-life compositions.
  • 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: Nicolaes de Kemp
Triple: [Nicolaes, usedBy, Nicolaes de Kemp]
Generated description
Nicolaes de Kemp was a historical figure, likely from the Dutch or Flemish region, about whom only limited specific information is readily available.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicolaes de Kemp
Target entity description: Nicolaes de Kemp was a historical figure, likely from the Dutch or Flemish region, about whom only limited specific information is readily available.
  • A. Nicolaes de Vree
    Nicolaes de Vree was a Dutch Golden Age painter known for his landscapes and still lifes.
  • B. Cornelis van der Meulen
    Cornelis van der Meulen is a relatively obscure historical figure known primarily through records that note him as a notable bearer of the Dutch given name Cornelis.
  • C. Dirck van Bleyswijck
    Dirck van Bleyswijck was a 17th-century Dutch writer and city official from Delft, best known for his detailed topographical and historical description of the city.
  • D. Nicolaes de Giselaer
    Nicolaes de Giselaer was a Dutch Golden Age painter and draughtsman known for his architectural views and detailed cityscapes.
  • E. Nicolaes van Gelder
    Nicolaes van Gelder was a 17th-century Dutch painter known for his still-life compositions.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c97ca3d5e0819097e904184202b75f completed March 29, 2026, 7:25 p.m.
NEDg Description generation batch_69c9811249bc8190ace23dd28bb8e38a completed March 29, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_69c98196bdd0819097d886d961924f51 completed March 29, 2026, 7:46 p.m.
Created at: March 27, 2026, 3:59 p.m.