Triple
T9704018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Afrika |
E234851
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cecil Afrika |
E234851
|
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: Cecil Afrika | Statement: [Cecil Afrika, name, Cecil Afrika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecil Afrika Context triple: [Cecil Afrika, name, Cecil Afrika]
-
A.
Cecil Afrika
chosen
Cecil Afrika is a South African rugby sevens player renowned as one of the sport’s leading playmakers and top points scorers on the World Rugby Sevens Series.
-
B.
Cecil
Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
-
C.
Nige
Nige is a familiar shortened form of the given name Nigel, often used as an informal nickname.
-
D.
Daniel François Malan
Daniel François Malan was a South African politician and prime minister best known for leading the National Party government that formally instituted apartheid in 1948.
-
E.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d73a0148190ad4178fd462cdd9c |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19136b40c8190922052dd84d49f15 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.