Triple
T22090405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice Principals |
E545897
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sheaun McKinney |
—
|
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: Sheaun McKinney | Statement: [Vice Principals, starring, Sheaun McKinney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheaun McKinney Context triple: [Vice Principals, starring, Sheaun McKinney]
-
A.
Sheaun McKinney
chosen
Sheaun McKinney is an American actor and comedian best known for his role as Malcolm Butler on the CBS sitcom "The Neighborhood."
-
B.
Micayle McKinney
Micayle McKinney is an author known for writing the work titled "Damaged."
-
C.
Shelvin Mack
Shelvin Mack is an American former professional basketball guard best known for starring at Butler University and later playing several seasons in the NBA.
-
D.
Da'Vone McDonald
Da'Vone McDonald is an American actor best known for his comedic supporting roles in film and television.
-
E.
Dwayne Myers
Dwayne Myers is a laid-back yet streetwise police officer and long-serving member of the Honoré Police team in the British-French crime drama series "Death in Paradise."
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.