Triple
T17439659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life Rolls On |
E424113
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Corey Crowder |
—
|
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: Corey Crowder | Statement: [Life Rolls On, producer, Corey Crowder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Crowder Context triple: [Life Rolls On, producer, Corey Crowder]
-
A.
Corey Crowder
chosen
Corey Crowder is an American country music songwriter and record producer known for his work with contemporary country artists.
-
B.
Corey Jae Crowder
Corey Jae Crowder is an American professional basketball player known for his versatile forward play, three-point shooting, and defensive toughness in the NBA.
-
C.
Corey Rusk
Corey Rusk is an American musician and influential independent record executive best known for running the seminal punk and alternative label Touch and Go Records.
-
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.
Mark Crowdy
Mark Crowdy is a British screenwriter and producer best known for creating and writing the crime drama series "Saving Grace."
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.