Triple

T4061481
Position Surface form Disambiguated ID Type / Status
Subject Daniel François Malan E86220 entity
Predicate spouse P13 FINISHED
Object Helena "Lettie" Malan E85269 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: Helena "Lettie" Malan | Statement: [Daniel François Malan, spouse, Helena "Lettie" Malan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena "Lettie" Malan
Context triple: [Daniel François Malan, spouse, Helena "Lettie" Malan]
  • A. Behati Prinsloo
    Behati Prinsloo is a Namibian model best known for her long-running work with Victoria’s Secret and for being one of the brand’s prominent Angels.
  • B. Bridgette Radebe
    Bridgette Radebe is a South African mining entrepreneur and businesswoman, recognized as one of the country’s first black female mine owners and a prominent figure in the mining industry.
  • C. Kagiso Kuypers
    Kagiso Kuypers is an actor best known for his role in the 2006 political war thriller film "Blood Diamond."
  • D. Maria Louw chosen
    Maria Louw was the wife of D. F. Malan, the South African prime minister and key architect of apartheid-era policies.
  • E. Elize Botha
    Elize Botha was the wife of former South African State President P. W. Botha and served as the country’s First Lady during his tenure.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd4acb0819093bcffcd05ed8e6f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b52e31c819099f9d354c197cf00 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:38 p.m.