Triple
T13957349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anton Louw |
E335699
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anton Louw |
E335699
|
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: Anton Louw | Statement: [Anton Louw, name, Anton Louw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anton Louw Context triple: [Anton Louw, name, Anton Louw]
-
A.
Anton Louw
chosen
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.
André Louw
André Louw is a relatively obscure individual whose name is notably associated with 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.
Niel Louw
Niel Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
E.
Gert Louw
Gert Louw is a South African bodybuilder and fitness personality known for his transformation-focused training and motivational content.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d27a0c8190b5d95ea86fc1a420 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.