Triple
T33791326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Globe Life And Accident Insurance Company |
E865937
|
entity |
| Predicate | customerAcquisitionMethod |
P9029
|
FINISHED |
| Object | direct response marketing |
—
|
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: direct response marketing | Statement: [Globe Life And Accident Insurance Company, customerAcquisitionMethod, direct response marketing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerAcquisitionMethod Context triple: [Globe Life And Accident Insurance Company, customerAcquisitionMethod, direct response marketing]
-
A.
campaignMethod
chosen
Indicates the method or approach used to conduct or deliver a campaign.
-
B.
purchaseMethod
Indicates the way or channel through which a purchase is made (e.g., online, in-store, by phone, or via a specific payment or ordering method).
-
C.
acquisitionType
Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
-
D.
leadType
Indicates the specific category or classification of a lead within a lead management or sales context.
-
E.
agingMethod
Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:45 a.m.