Triple
T2503176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louw |
E52513
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jaco Louw
Jaco Louw is a notable individual bearing the Afrikaans surname Louw, recognized within contexts where the name has particular cultural or public significance.
|
E329019
|
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: Jaco Louw | Statement: [Louw, hasNotableBearer, Jaco Louw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaco Louw Context triple: [Louw, hasNotableBearer, Jaco Louw]
-
A.
Charl Louw
Charl Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
B.
Danie Louw
Danie Louw is a notable individual recognized for achievements significant enough to be associated with the surname Louw.
-
C.
Marius Louw
Marius Louw is a South African professional rugby union player known for his performances as a centre in top domestic and international club competitions.
-
D.
Stephan Louw
Stephan Louw is a Namibian long jumper who has represented his country in international athletics competitions, including the Olympic Games.
-
E.
Chris Louw
Chris Louw is a South African journalist and writer best known for his provocative open letter "Boetman is die bliksem in" criticizing the apartheid-era Afrikaner establishment.
- 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: Jaco Louw Triple: [Louw, hasNotableBearer, Jaco Louw]
Generated description
Jaco Louw is a notable individual bearing the Afrikaans surname Louw, recognized within contexts where the name has particular cultural or public significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaco Louw Target entity description: Jaco Louw is a notable individual bearing the Afrikaans surname Louw, recognized within contexts where the name has particular cultural or public significance.
-
A.
Charl Louw
Charl Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
B.
Danie Louw
Danie Louw is a notable individual recognized for achievements significant enough to be associated with the surname Louw.
-
C.
Marius Louw
Marius Louw is a South African professional rugby union player known for his performances as a centre in top domestic and international club competitions.
-
D.
Stephan Louw
Stephan Louw is a Namibian long jumper who has represented his country in international athletics competitions, including the Olympic Games.
-
E.
Chris Louw
Chris Louw is a South African journalist and writer best known for his provocative open letter "Boetman is die bliksem in" criticizing the apartheid-era Afrikaner establishment.
- 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_69b20f1e61308190be9604bce0be83d2 |
completed | March 12, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b210ea15788190aa00dcfaabcca47a |
completed | March 12, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2117703b08190acb25f3f96469a1e |
completed | March 12, 2026, 1:05 a.m. |
Created at: March 6, 2026, 9:46 p.m.