Triple
T14130656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazel Jenkins |
E350154
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object | Dipuo Peters |
E307732
|
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: Dipuo Peters | Statement: [Hazel Jenkins, replaced, Dipuo Peters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dipuo Peters Context triple: [Hazel Jenkins, replaced, Dipuo Peters]
-
A.
Dipuo Peters
chosen
Dipuo Peters is a South African politician who has held prominent leadership roles at both provincial and national levels, including serving as Premier of the Northern Cape.
-
B.
Page Peters
Page Peters was an early 20th-century American silent film actor known for his leading roles in several dramas before his career was cut short by his untimely death.
-
C.
Johannes Duiker
Johannes Duiker was a pioneering Dutch modernist architect known for his innovative functionalist designs and major contributions to the Nieuwe Bouwen movement.
-
D.
Peter Ott
Peter Ott was an Austrian general who played a significant command role in the Napoleonic Wars, notably during the Italian campaigns.
-
E.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf10e3948190b21968bc39094a8e |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:47 p.m.