Triple
T14241349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adekunle Gold |
E353012
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Simi |
E985803
|
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: Simi | Statement: [Adekunle Gold, spouse, Simi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simi Context triple: [Adekunle Gold, spouse, Simi]
-
A.
Simi
chosen
Simi is a Nigerian singer, songwriter, and sound engineer known for her soulful vocals and blend of Afropop, R&B, and contemporary highlife.
-
B.
Simi
"Simi" is a breakout mixtape by American rapper BlocBoy JB that helped raise his profile in the hip-hop scene.
-
C.
Simi
Simi is a Greek island in the Dodecanese archipelago in the southeastern Aegean Sea, near the coast of Turkey.
-
D.
Simmi
Simmi is a low-lying locality or geographic feature in the Swiss municipality of Wildhaus, notable as its lowest elevation point.
-
E.
Shila Ommi
Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282183308190b63172972773b3c2 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.