Triple
T14348930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing on the Edge |
E355799
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Wunmi Mosaku |
E787157
|
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: Wunmi Mosaku | Statement: [Dancing on the Edge, stars, Wunmi Mosaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wunmi Mosaku Context triple: [Dancing on the Edge, stars, Wunmi Mosaku]
-
A.
Wunmi Mosaku
chosen
Wunmi Mosaku is a British-Nigerian actress known for her acclaimed performances in film and television, including prominent roles in series like "Lovecraft Country" and "Loki."
-
B.
Bisi Akande
Bisi Akande is a Nigerian politician and statesman, best known as a former governor of Osun State and a key founding leader of major progressive political parties in Nigeria.
-
C.
Adenike Balogun
Adenike Balogun is a fictional character portrayed as the mother of George, serving as a central figure in his story.
-
D.
Ayodele Balogun
Ayodele Balogun is the central protagonist of the novel "Mother of George," around whom the story’s emotional and cultural conflicts revolve.
-
E.
Lilian Imoh
Lilian Imoh is a notable alumna of the University of Benin recognized for her professional achievements after graduation.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8d081c8190ac805726a3e98f4c |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46a12ad08190a2f0dc5890ed5ce9 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.