Triple
T26057335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Dolan |
E657155
|
entity |
| Predicate | involvedWithOrganization |
P151288
|
FINISHED |
| Object | drug cartel |
—
|
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: drug cartel | Statement: [Adrian Dolan, involvedWithOrganization, drug cartel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedWithOrganization Context triple: [Adrian Dolan, involvedWithOrganization, drug cartel]
-
A.
appearsInOrganization
Indicates that an entity is present, featured, or participates within a particular organization.
-
B.
relationshipToOrganization
chosen
Indicates the nature or type of connection an entity has with a specific organization, such as affiliation, membership, or role.
-
C.
connectedOrganization
Indicates that there is an established relationship or association between two organizations, such that one is linked or affiliated with the other in some relevant context.
-
D.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
-
E.
worksInOrganizationType
Indicates that an entity is employed by or performs work within an organization of a specified type (e.g., company, nonprofit, government agency).
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 26, 2026, 7:12 p.m.