Triple
T17428076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadus family |
E423792
|
entity |
| Predicate | hasFamilyBusinessRole |
P8006
|
FINISHED |
| Object | Shante Broadus as manager of Snoop Dogg |
—
|
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: Shante Broadus as manager of Snoop Dogg | Statement: [Broadus family, hasFamilyBusinessRole, Shante Broadus as manager of Snoop Dogg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyBusinessRole Context triple: [Broadus family, hasFamilyBusinessRole, Shante Broadus as manager of Snoop Dogg]
-
A.
relatedFamilyBusiness
chosen
Indicates that there is a connection between entities through ownership, management, or involvement in the same family-run business or businesses.
-
B.
hasFamilyRole
Indicates that one entity holds a specific familial role or position in relation to another entity.
-
C.
hasParentCompanyBusiness
Indicates that one company operates as a business owned or controlled by another company that serves as its parent company.
-
D.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
E.
hasBusinesses
Indicates that an entity owns, operates, or is associated with one or more businesses.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fdc1348190985db52c8c74c394 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.