Triple

T12094573
Position Surface form Disambiguated ID Type / Status
Subject Werner Louw E288036 entity
Predicate name P16 FINISHED
Object Werner Louw E288036 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: Werner Louw | Statement: [Werner Louw, name, Werner Louw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werner Louw
Context triple: [Werner Louw, name, Werner Louw]
  • A. Werner Louw chosen
    Werner Louw is a person notable enough to be recognized as a bearer of the surname Louw.
  • B. Adriaan Louw
    Adriaan Louw is a South African-born physical therapist and pain scientist known for his work on pain neuroscience education and chronic pain management.
  • C. Stephanus Schoeman
    Stephanus Schoeman was a 19th-century Boer military and political leader who briefly headed the South African Republic during its early, turbulent years.
  • D. Anton Louw
    Anton Louw is an individual notable enough to be recognized as a bearer of the surname Louw, though specific widely known achievements or roles are not clearly documented.
  • E. Andries Odendaal
    Andries Odendaal is a South African designer best known for creating Zakumi, the official mascot of the 2010 FIFA World Cup.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7e1ab481909c25ba3dd3fff9b3 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:48 p.m.