Triple

T3355310
Position Surface form Disambiguated ID Type / Status
Subject Sjoukje Ozinga E70589 entity
Predicate familyName P18 FINISHED
Object Ozinga
Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
 E350773 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: Ozinga | Statement: [Sjoukje Ozinga, familyName, Ozinga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ozinga
Context triple: [Sjoukje Ozinga, familyName, Ozinga]
  • A. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • B. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • C. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • D. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • E. Andries
    Andries is a Dutch given name traditionally used for men, equivalent to Andrew in English.
  • 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: Ozinga
Triple: [Sjoukje Ozinga, familyName, Ozinga]
Generated description
Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ozinga
Target entity description: Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • A. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • B. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • C. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • D. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • E. Andries
    Andries is a Dutch given name traditionally used for men, equivalent to Andrew in English.
  • 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.