Triple
T21661562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Skatalites |
E534606
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Roland Alphonso |
—
|
NE NERFINISHED |
How this triple was built (3 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: Roland Alphonso | Statement: [The Skatalites, notableMember, Roland Alphonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Alphonso Context triple: [The Skatalites, notableMember, Roland Alphonso]
-
A.
Roland Williams
Roland Williams is a former NFL tight end best known for his role on the high-powered St. Louis Rams "Greatest Show on Turf" offense that won Super Bowl XXXIV.
-
B.
Roland West
Roland West was an American film director of the silent and early sound era, best known for his atmospheric crime dramas and for his association with the 1932 murder scandal involving actress Thelma Todd.
-
C.
Roland Burton
Roland Burton is a central character on the television drama "Army Wives," known as a psychiatrist and one of the few male military spouses portrayed on the show.
-
D.
Rolland Lawrence
Rolland Lawrence is a former American football cornerback best known for his standout career with the Atlanta Falcons in the 1970s, where he became one of the franchise’s top defensive players.
-
E.
Roland Lui
Roland Lui is an actor known for his role in the film adaptation of Pearl S. Buck’s novel "The Good Earth."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roland Alphonso Target entity description: Roland Alphonso was a Jamaican saxophonist and influential founding figure in ska and rocksteady music, best known for his work with The Skatalites.
-
A.
Roland Williams
Roland Williams is a former NFL tight end best known for his role on the high-powered St. Louis Rams "Greatest Show on Turf" offense that won Super Bowl XXXIV.
-
B.
Roland West
Roland West was an American film director of the silent and early sound era, best known for his atmospheric crime dramas and for his association with the 1932 murder scandal involving actress Thelma Todd.
-
C.
Roland Burton
Roland Burton is a central character on the television drama "Army Wives," known as a psychiatrist and one of the few male military spouses portrayed on the show.
-
D.
Rolland Lawrence
Rolland Lawrence is a former American football cornerback best known for his standout career with the Atlanta Falcons in the 1970s, where he became one of the franchise’s top defensive players.
-
E.
Roland Lui
Roland Lui is an actor known for his role in the film adaptation of Pearl S. Buck’s novel "The Good Earth."
- F. None of above. chosen
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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0883d481908dfdc66832c34d74 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.