Triple
T24348110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paid in Full: The Platinum Edition |
E613703
|
entity |
| Predicate | duo |
P46169
|
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: [Paid in Full: The Platinum Edition, duo, Eric B. & Rakim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: duo Context triple: [Paid in Full: The Platinum Edition, duo, Eric B. & Rakim]
-
A.
duoMember
Indicates that an entity is one of the two participants forming a duo with another entity.
-
B.
dualPair
Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
-
C.
associatedWithDuo
chosen
Indicates a relationship in which an entity is linked or connected to a specific duo, typically implying involvement, collaboration, or relevance to that pair.
-
D.
duaFor
Indicates that one entity performs or offers a dua (supplication/prayer) on behalf of another entity.
-
E.
madeDuaTo
Indicates that one entity directed a supplication or prayer (dua) toward another entity.
- 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932a49b081908b63b1354dfa6583 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.