Triple
T14489339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skillet |
E359321
|
entity |
| Predicate | keyboardist |
P12601
|
FINISHED |
| Object | Korey Cooper |
E1105201
|
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: Korey Cooper | Statement: [Skillet, keyboardist, Korey Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korey Cooper Context triple: [Skillet, keyboardist, Korey Cooper]
-
A.
Korey Cooper
chosen
Korey Cooper is an American musician best known as the longtime rhythm guitarist and keyboardist for the Christian rock band Skillet.
-
B.
Korey Wise
Korey Wise is one of the wrongfully convicted "Central Park Five" whose real-life story of injustice and eventual exoneration is depicted in the miniseries *When They See Us*.
-
C.
Kyle Cooper
Kyle Cooper is a composer recognized for his award-winning work in video game music, including earning top honors at The Game Awards.
-
D.
Corey Gaines
Corey Gaines is an American basketball coach and former player best known for leading the WNBA’s Phoenix Mercury to a championship as head coach.
-
E.
Michael Covino
Michael Covino is an American filmmaker and actor best known for co-writing, directing, and starring in the acclaimed indie film "The Climb."
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a7187c81909f173c2fb70509f5 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:20 a.m.