Triple
T11176823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siya Kolisi |
E264432
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Kezi Kolisi |
E911521
|
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: Kezi Kolisi | Statement: [Siya Kolisi, hasChild, Kezi Kolisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kezi Kolisi Context triple: [Siya Kolisi, hasChild, Kezi Kolisi]
-
A.
Siya Kolisi
Siya Kolisi is a South African rugby union flanker who became the first black captain of the Springboks and led them to Rugby World Cup titles in 2019 and 2023.
-
B.
Nicholas Kolisi
chosen
Nicholas Kolisi is one of the children of South African rugby union star and Springboks captain Siya Kolisi.
-
C.
Heyneke Meyer
Heyneke Meyer is a South African rugby union coach best known for coaching the national Springboks and leading the Bulls to multiple Super Rugby titles.
-
D.
Rassie Erasmus
Rassie Erasmus is a South African rugby coach and former player best known for leading the Springboks to the 2019 Rugby World Cup title and revolutionizing their tactical approach.
-
E.
Dan Pienaar
Dan Pienaar was a prominent South African Army general best known for his leadership of South African forces during key campaigns of the Second World War, particularly in North Africa.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4acf79b748190b117355f60c8c015 |
completed | April 19, 2026, 10:22 a.m. |
Created at: April 8, 2026, 9:29 p.m.