Triple
T12094578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Louw |
E288037
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben Louw |
E288037
|
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: Ben Louw | Statement: [Ben Louw, name, Ben Louw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Louw Context triple: [Ben Louw, name, Ben Louw]
-
A.
Ben Louw
chosen
Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
-
B.
Martin Louw
Martin Louw is a person bearing the surname Louw, which is associated with several notable individuals, though specific widely recognized achievements for this particular bearer are not clearly documented.
-
C.
Albert Wessels
Albert Wessels was a South African businessman best known for founding Toyota South Africa and helping establish the brand’s presence in the country.
-
D.
Jacques Louw
Jacques Louw is a South African rugby union player known for his performances as a flanker at professional and international levels.
-
E.
Herman Louw
Herman 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_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.