Triple
T15542892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieter Hendrik Joubert |
E370525
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Joubert |
E370525
|
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: Joubert | Statement: [Pieter Hendrik Joubert, hasSurname, Joubert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joubert Context triple: [Pieter Hendrik Joubert, hasSurname, Joubert]
-
A.
Joubert
chosen
Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
-
B.
Joubertina
Joubertina is a small rural town in South Africa’s Eastern Cape, situated in the Langkloof valley and known for its surrounding fruit-farming region.
-
C.
Krabbé
Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
-
D.
Beaudine
Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
-
E.
Jakobs
Jakobs is the maiden surname of Barbara Orbison, the German-born music producer and widow of rock and roll legend Roy Orbison.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04432c3808190bb5b653bf8de30c6 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4558677881908704ac86c12e1fc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:07 a.m.