Triple

T4909410
Position Surface form Disambiguated ID Type / Status
Subject Rineke Dijkstra E110195 entity
Predicate givenName P17 FINISHED
Object Rineke
Rineke is a Dutch photographer renowned for her intimate, large-scale portraits that explore identity, vulnerability, and the passage of time.
 E478589 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: Rineke | Statement: [Rineke Dijkstra, givenName, Rineke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rineke
Context triple: [Rineke Dijkstra, givenName, Rineke]
  • A. 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.
  • B. Sjoukje
    Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Everdine Huberta van Wijnbergen
    Everdine Huberta van Wijnbergen was the wife of Dutch writer Multatuli (Eduard Douwes Dekker), associated with his personal life and correspondence.
  • E. Hendrika
    Hendrika is a feminine given name of Dutch origin, commonly used in the Netherlands and related to the name Hendrickje.
  • 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: Rineke
Triple: [Rineke Dijkstra, givenName, Rineke]
Generated description
Rineke is a Dutch photographer renowned for her intimate, large-scale portraits that explore identity, vulnerability, and the passage of time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rineke
Target entity description: Rineke is a Dutch photographer renowned for her intimate, large-scale portraits that explore identity, vulnerability, and the passage of time.
  • A. 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.
  • B. Sjoukje
    Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Everdine Huberta van Wijnbergen
    Everdine Huberta van Wijnbergen was the wife of Dutch writer Multatuli (Eduard Douwes Dekker), associated with his personal life and correspondence.
  • E. Hendrika
    Hendrika is a feminine given name of Dutch origin, commonly used in the Netherlands and related to the name Hendrickje.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe098b081908e17d6d349b76364 completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be7095dc8c8190bdda64e99232fe1e completed March 21, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69be710df238819085b0a873e23ecfd9 completed March 21, 2026, 10:21 a.m.
Created at: March 20, 2026, 1:29 p.m.