Triple
T23540350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney "Sid" Shaw |
E577724
|
entity |
| Predicate | closeFriendOf |
P8712
|
FINISHED |
| Object | Dre Ellis |
—
|
NE NERFINISHED |
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: Dre Ellis | Statement: [Sidney "Sid" Shaw, closeFriendOf, Dre Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dre Ellis Context triple: [Sidney "Sid" Shaw, closeFriendOf, Dre Ellis]
-
A.
Dre Ellis
chosen
Dre Ellis is the charismatic hip-hop journalist and central protagonist of the romantic comedy film "Brown Sugar," whose lifelong friendship with a music executive evolves into a deeper love story.
-
B.
Traa Daniels
Traa Daniels is the bassist for the American Christian nu metal band P.O.D.
-
C.
Nelsan Ellis
Nelsan Ellis was an American actor best known for his acclaimed role as Lafayette Reynolds on the HBO series "True Blood."
-
D.
Delaney Williams
Delaney Williams is an American character actor best known for his roles in gritty crime dramas such as HBO’s The Wire and We Own This City.
-
E.
Dahvi Waller
Dahvi Waller is a television writer and producer best known for creating the critically acclaimed miniseries "Mrs. America" and her work on shows like "Mad Men."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1a66b88190811b38523ea606fe |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.