Triple
T14077696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Dry White Season |
E338779
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ben du Toit
Ben du Toit is the white South African schoolteacher protagonist of André Brink’s novel "A Dry White Season," whose moral awakening leads him to confront the injustices of apartheid.
|
E1077181
|
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: Ben du Toit | Statement: [A Dry White Season, mainCharacter, Ben du Toit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben du Toit Context triple: [A Dry White Season, mainCharacter, Ben du Toit]
-
A.
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.
-
B.
Niel Louw
Niel Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
C.
Christo Louw
Christo Louw is a South African individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
D.
André Louw
André Louw is a relatively obscure individual whose name is notably associated with the surname Louw.
-
E.
Charl Louw
Charl Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
- 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: Ben du Toit Triple: [A Dry White Season, mainCharacter, Ben du Toit]
Generated description
Ben du Toit is the white South African schoolteacher protagonist of André Brink’s novel "A Dry White Season," whose moral awakening leads him to confront the injustices of apartheid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben du Toit Target entity description: Ben du Toit is the white South African schoolteacher protagonist of André Brink’s novel "A Dry White Season," whose moral awakening leads him to confront the injustices of apartheid.
-
A.
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.
-
B.
Niel Louw
Niel Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
C.
Christo Louw
Christo Louw is a South African individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
D.
André Louw
André Louw is a relatively obscure individual whose name is notably associated with the surname Louw.
-
E.
Charl Louw
Charl Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb670f51c819088e8d0137f8d3bb1 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcbef464248190881012d92777557c |
completed | May 7, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcbfbae7608190a8d8cf0fa270df9d |
completed | May 7, 2026, 4:37 p.m. |
Created at: April 9, 2026, 10:21 p.m.