Triple

T3355311
Position Surface form Disambiguated ID Type / Status
Subject Sjoukje Ozinga E70589 entity
Predicate givenName P17 FINISHED
Object Sjoukje
Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
 E350774 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: Sjoukje | Statement: [Sjoukje Ozinga, givenName, Sjoukje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sjoukje
Context triple: [Sjoukje Ozinga, givenName, Sjoukje]
  • A. Saskia
    Saskia is a female given name of Germanic origin, most famously borne by Saskia van Uylenburgh, the wife and frequent model of the Dutch painter Rembrandt.
  • B. Marijke
    Marijke is the baptismal name of Princess Christina of the Netherlands, the youngest daughter of Queen Juliana and Prince Bernhard.
  • C. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • D. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • E. Kaja
    Kaja is a diminutive or nickname commonly used for the given name Katarina.
  • 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: Sjoukje
Triple: [Sjoukje Ozinga, givenName, Sjoukje]
Generated description
Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sjoukje
Target entity description: Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
  • A. Saskia
    Saskia is a female given name of Germanic origin, most famously borne by Saskia van Uylenburgh, the wife and frequent model of the Dutch painter Rembrandt.
  • B. Marijke
    Marijke is the baptismal name of Princess Christina of the Netherlands, the youngest daughter of Queen Juliana and Prince Bernhard.
  • C. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • D. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • E. Kaja
    Kaja is a diminutive or nickname commonly used for the given name Katarina.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2419a808190a54fc03eeec6e42d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253b03e8819082a5bf5bd5c5d5cb completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325ffdef081909b9665468f305336 completed March 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69b32714d57c8190a59619dfab19656f completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:13 p.m.