Triple
T2503163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louw |
E52513
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gert Louw
Gert Louw is a South African bodybuilder and fitness personality known for his transformation-focused training and motivational content.
|
E304935
|
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: Gert Louw | Statement: [Louw, hasNotableBearer, Gert Louw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gert Louw Context triple: [Louw, hasNotableBearer, Gert Louw]
-
A.
Johan Louw
Johan Louw is a South African former cricketer who played as a right-arm medium-fast bowler and lower-order batsman, notably representing South Africa in One Day Internationals.
-
B.
Werner Louw
Werner Louw is a person notable enough to be recognized as a bearer of the surname Louw.
-
C.
Danie Louw
Danie Louw is a notable individual recognized for achievements significant enough to be associated with the surname Louw.
-
D.
Michael Louw
Michael Louw is a person bearing the Afrikaans surname "Louw," which is of South African origin.
-
E.
Joost van der Westhuizen
Joost van der Westhuizen was a legendary South African scrum-half renowned for his pivotal role in the Springboks’ 1995 Rugby World Cup victory and his status as one of the greatest players in rugby union history.
- 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: Gert Louw Triple: [Louw, hasNotableBearer, Gert Louw]
Generated description
Gert Louw is a South African bodybuilder and fitness personality known for his transformation-focused training and motivational content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gert Louw Target entity description: Gert Louw is a South African bodybuilder and fitness personality known for his transformation-focused training and motivational content.
-
A.
Johan Louw
Johan Louw is a South African former cricketer who played as a right-arm medium-fast bowler and lower-order batsman, notably representing South Africa in One Day Internationals.
-
B.
Werner Louw
Werner Louw is a person notable enough to be recognized as a bearer of the surname Louw.
-
C.
Danie Louw
Danie Louw is a notable individual recognized for achievements significant enough to be associated with the surname Louw.
-
D.
Michael Louw
Michael Louw is a person bearing the Afrikaans surname "Louw," which is of South African origin.
-
E.
Joost van der Westhuizen
Joost van der Westhuizen was a legendary South African scrum-half renowned for his pivotal role in the Springboks’ 1995 Rugby World Cup victory and his status as one of the greatest players in rugby union history.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cb4f6481908d4e0a1dc0d84d3c |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d1c73d88190b4e871b9876e1a52 |
completed | March 10, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69b0212016f881909e7ce8726680f40f |
completed | March 10, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b022213c6c81909549e5c46991f4a9 |
completed | March 10, 2026, 1:52 p.m. |
Created at: March 6, 2026, 9:46 p.m.