Triple
T13003375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jovan Adepo |
E322224
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jovan Adepo |
E322224
|
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: Jovan Adepo | Statement: [Jovan Adepo, name, Jovan Adepo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jovan Adepo Context triple: [Jovan Adepo, name, Jovan Adepo]
-
A.
Jovan Adepo
chosen
Jovan Adepo is a British-American actor best known for his breakout role in the drama film "Fences" (2016) and subsequent performances in film and television.
-
B.
Aden Young
Aden Young is an Australian actor known for his work in film and television, particularly for his acclaimed lead role in the drama series "Rectify."
-
C.
Caleel Harris
Caleel Harris is an American actor known for his role as a young Antron McCray in the acclaimed Netflix miniseries "When They See Us."
-
D.
Corey Hawkins
Corey Hawkins is an American actor known for his roles in films like "Straight Outta Compton" and "Kong: Skull Island," as well as television series such as "24: Legacy."
-
E.
Joivan Wade
Joivan Wade is a British actor and writer best known for his role as Victor Stone/Cyborg in the television series "Doom Patrol."
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c103e49c8190a140527f24b5c799 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:47 p.m.