Triple
T37136910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artie Bucco |
E919987
|
entity |
| Predicate | businessAffectedBy |
P45127
|
FINISHED |
| Object | organized crime |
—
|
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: organized crime | Statement: [Artie Bucco, businessAffectedBy, organized crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessAffectedBy Context triple: [Artie Bucco, businessAffectedBy, organized crime]
-
A.
impactOnBusiness
chosen
Indicates the effect or influence that one factor, event, or action has on a business’s performance, operations, or outcomes.
-
B.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
C.
business
Indicates that an entity is engaged in commercial or professional activities, such as providing goods or services for profit.
-
D.
affectedCompany
Indicates that a company is impacted or influenced by a particular event, action, or entity.
-
E.
businessActivities
Indicates the commercial operations, transactions, or services that an entity conducts as part of its business.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.