Triple

T2884084
Position Surface form Disambiguated ID Type / Status
Subject Pro Rege E59464 entity
Predicate contributorToEnglishEdition P42571 FINISHED
Object John Kok
John Kok is a scholar known for his contributions to the English edition of the journal Pro Rege.
 E308674 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: John Kok | Statement: [Pro Rege, contributorToEnglishEdition, John Kok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Kok
Context triple: [Pro Rege, contributorToEnglishEdition, John Kok]
  • A. Joseph Kane
    Joseph Kane was an American film director best known for his prolific work on B-Western movies during the mid-20th century.
  • B. Percy Yutar
    Percy Yutar was a South African state prosecutor best known for leading the case against Nelson Mandela and other anti-apartheid activists during the Rivonia Trial.
  • C. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • D. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • E. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • 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: John Kok
Triple: [Pro Rege, contributorToEnglishEdition, John Kok]
Generated description
John Kok is a scholar known for his contributions to the English edition of the journal Pro Rege.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Kok
Target entity description: John Kok is a scholar known for his contributions to the English edition of the journal Pro Rege.
  • A. Joseph Kane
    Joseph Kane was an American film director best known for his prolific work on B-Western movies during the mid-20th century.
  • B. Percy Yutar
    Percy Yutar was a South African state prosecutor best known for leading the case against Nelson Mandela and other anti-apartheid activists during the Rivonia Trial.
  • C. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • D. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • E. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe08c85c48190bd8c0f6680fca0c8 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0316c4fa481909cd5b26ec346d885 completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b035ddda948190bb0e8a57b7314480 completed March 10, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69b0396854808190946bd3f8d919b6cb completed March 10, 2026, 3:31 p.m.
Created at: March 6, 2026, 10:03 p.m.