Triple
T16861451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malan |
E409921
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jannie Malan |
E417507
|
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: Jannie Malan | Statement: [Malan, hasNotableBearer, Jannie Malan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jannie Malan Context triple: [Malan, hasNotableBearer, Jannie Malan]
-
A.
Jannie Malan
chosen
Jannie Malan is a notable individual who shares the Malan surname, which is associated with several prominent South African figures in politics, sports, and public life.
-
B.
Danie Louw
Danie Louw is a notable individual recognized for achievements significant enough to be associated with the surname Louw.
-
C.
Jannie Louw
Jannie Louw is a notable individual associated with the surname Louw, recognized for achievements significant enough to be specifically cited as a bearer of the name.
-
D.
Ruan Potgieter
Ruan Potgieter is a South African rugby union player known for his role as a prop.
-
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.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b5036e6c8190a3b9e525a34da2e1 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a08be48190bd2dbf83205c83ad |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:24 a.m.