Triple

T11998759
Position Surface form Disambiguated ID Type / Status
Subject Martin Louw E285599 entity
Predicate name P16 FINISHED
Object Martin Louw E285599 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: Martin Louw | Statement: [Martin Louw, name, Martin Louw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Louw
Context triple: [Martin Louw, name, Martin Louw]
  • A. Martin Louw chosen
    Martin Louw is a person bearing the surname Louw, which is associated with several notable individuals, though specific widely recognized achievements for this particular bearer are not clearly documented.
  • B. Ben Louw
    Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
  • C. Albert Wessels
    Albert Wessels was a South African businessman best known for founding Toyota South Africa and helping establish the brand’s presence in the country.
  • D. Jacques Louw
    Jacques Louw is a South African rugby union player known for his performances as a flanker at professional and international levels.
  • E. John Louw
    John Louw is a South African cricketer who played first-class matches in the late 20th century.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d183ee881908f1c0ca4562344a9 completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.