Triple
T10015311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond Smith |
E199473
|
entity |
| Predicate | worksForOrganization |
P5820
|
FINISHED |
| Object | Mickey Pearson’s marijuana operation |
—
|
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: Mickey Pearson’s marijuana operation | Statement: [Raymond Smith, worksForOrganization, Mickey Pearson’s marijuana operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksForOrganization Context triple: [Raymond Smith, worksForOrganization, Mickey Pearson’s marijuana operation]
-
A.
worksInOrganizationType
Indicates that an entity is employed by or performs work within an organization of a specified type (e.g., company, nonprofit, government agency).
-
B.
worksFor
chosen
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
C.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
D.
usesOrganization
Indicates that one entity makes use of, relies on, or operates through a particular organization to perform its functions or activities.
-
E.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:52 p.m.