Triple
T24926316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best of Eric B. & Rakim: Gold Series |
E618866
|
entity |
| Predicate | showcasesCareerOf |
P96605
|
FINISHED |
| Object | Eric B. & Rakim |
—
|
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: Eric B. & Rakim | Statement: [The Best of Eric B. & Rakim: Gold Series, showcasesCareerOf, Eric B. & Rakim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showcasesCareerOf Context triple: [The Best of Eric B. & Rakim: Gold Series, showcasesCareerOf, Eric B. & Rakim]
-
A.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
B.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
C.
laterCareerWorkOf
Indicates that one work represents a creator’s later career output in relation to another work or to their overall body of work.
-
D.
developsCareerIn
Indicates that an entity actively builds, advances, or pursues a professional path within a particular field, role, or organization.
-
E.
associatedWithCareerOf
chosen
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
- F. None of above.
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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f423b0ac18819091801893849a2ca6 |
completed | May 1, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:29 a.m.