Triple
T12990481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemi |
E321887
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yemi Alade |
E60437
|
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: Yemi Alade | Statement: [Yemi, name, Yemi Alade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yemi Alade Context triple: [Yemi, name, Yemi Alade]
-
A.
Yemi Alade
chosen
Yemi Alade is a Nigerian singer and songwriter renowned for her energetic Afrobeats hits and vibrant pan-African musical style.
-
B.
Tami Alade
Tami Alade is a Canadian volleyball player and standout middle blocker who competed for Stanford University's women's volleyball team.
-
C.
Ayodele Balogun
Ayodele Balogun is the central protagonist of the novel "Mother of George," around whom the story’s emotional and cultural conflicts revolve.
-
D.
Femi Adeola
Femi Adeola is a character in the Doctor Who spin-off series "Class," known as the younger brother of Tanya Adeola.
-
E.
Adekunle Gold
Adekunle Gold is a Nigerian singer, songwriter, and graphic designer known for his blend of highlife, Afropop, and contemporary R&B music.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fca5e4819086b010fdd1813419 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:43 p.m.