Triple
T4061438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel François Malan |
E86220
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Malan |
E86221
|
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: Malan | Statement: [Daniel François Malan, familyName, Malan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malan Context triple: [Daniel François Malan, familyName, Malan]
-
A.
Malan
chosen
Malan is a surname of Afrikaans and French Huguenot origin, notably borne by figures such as South African prime minister D. F. Malan.
-
B.
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.
-
C.
Luke Malaba
Luke Malaba is a Zimbabwean jurist who has served as the Chief Justice of Zimbabwe.
-
D.
Gavin Louw
Gavin Louw is an individual notable enough to be specifically cited as a bearer of the surname Louw.
-
E.
Darrell Roodt
Darrell Roodt is a South African film director known for socially conscious dramas that often explore apartheid and its legacy, including the acclaimed musical film "Sarafina!".
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd4acb0819093bcffcd05ed8e6f |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562ac25848190951431c9c853cc59 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.