Triple
T28191041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish Wish |
E716313
|
entity |
| Predicate | has21SavageRole |
P164111
|
FINISHED |
| Object | rapper |
—
|
LITERAL 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: rapper | Statement: [Wish Wish, has21SavageRole, rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has21SavageRole Context triple: [Wish Wish, has21SavageRole, rapper]
-
A.
creditedRoleOfJermaineDupri
Indicates that a particular role or contribution is officially attributed to Jermaine Dupri.
-
B.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
-
C.
Russell Thompkins Jr. role
Indicates that Russell Thompkins Jr. holds or held a particular role, position, or function in relation to another entity or context.
-
D.
hasKhloeRole
Indicates that an entity holds or is assigned the specific role identified as "Khloe" in relation to another entity or context.
-
E.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642cde0e48190a0efd303707a7531 |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:25 p.m.