Triple
T15417936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daddy (feat. October London) |
E369295
|
entity |
| Predicate | musicalRoleOfSnoopDogg |
P24740
|
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: [Daddy (feat. October London), musicalRoleOfSnoopDogg, rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalRoleOfSnoopDogg Context triple: [Daddy (feat. October London), musicalRoleOfSnoopDogg, rapper]
-
A.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
B.
musicalCharacter
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
-
C.
hasRapAlterEgoOf
Indicates that one entity is the rap-stage persona or alter ego used by another entity.
-
D.
creditedRoleOfJermaineDupri
Indicates that a particular role or contribution is officially attributed to Jermaine Dupri.
-
E.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.