Triple

T6947567
Position Surface form Disambiguated ID Type / Status
Subject Marthinus Theunis Steyn E160835 entity
Predicate givenName P17 FINISHED
Object Marthinus E479573 NE FINISHED

How this triple was built (2 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: Marthinus | Statement: [Marthinus Theunis Steyn, givenName, Marthinus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marthinus
Context triple: [Marthinus Theunis Steyn, givenName, Marthinus]
  • A. Marthinus chosen
    Marthinus is a masculine given name of Afrikaans and Dutch origin, historically borne by several notable South African figures.
  • B. Daniel François Malan
    Daniel François Malan was a South African politician and prime minister best known for leading the National Party government that formally instituted apartheid in 1948.
  • C. Marais Louw
    Marais Louw is a South African rugby union player known for his performances as a flanker in domestic and international competitions.
  • D. De Wit
    De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
  • E. Jozias van Aartsen
    Jozias van Aartsen is a Dutch politician who has held prominent national and local offices, including serving as Minister of Foreign Affairs and Mayor of The Hague.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daabc624819091a03289241b43c8 completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75870719481908312b387a3c6ce81 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:28 p.m.