Triple
T21334124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Lucas |
E525991
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Zamani Saul |
—
|
NE NERFINISHED |
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: Zamani Saul | Statement: [Sylvia Lucas, succeededBy, Zamani Saul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamani Saul Context triple: [Sylvia Lucas, succeededBy, Zamani Saul]
-
A.
Zamani Saul
chosen
Zamani Saul is a South African politician who serves as the Premier of the Northern Cape province.
-
B.
Shaul
Shaul is the Hebrew form of the name Saul, most famously associated with the first king of ancient Israel in the Hebrew Bible.
-
C.
Saul
Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
-
D.
Saul
Saul is a small village in Gloucestershire, England, known for its proximity to the Gloucester and Sharpness Canal and the nearby Saul Junction.
-
E.
Saul
Saul is the first king of Israel in the Hebrew Bible, known for his tumultuous reign and complex relationship with the prophet Samuel and his successor David.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba65c4081908b93d5dc6a937cb6 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 4:43 p.m.