Triple
T30251315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A New Direction |
E769207
|
entity |
| Predicate | campaignMessageType |
P141955
|
FINISHED |
| Object | reform-oriented slogan |
—
|
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: reform-oriented slogan | Statement: [A New Direction, campaignMessageType, reform-oriented slogan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignMessageType Context triple: [A New Direction, campaignMessageType, reform-oriented slogan]
-
A.
marketingMessageType
chosen
Indicates the specific category or kind of marketing message being used or communicated in the relationship.
-
B.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
C.
campaignEventType
Indicates the specific kind of campaign-related event or activity that has occurred or is being recorded.
-
D.
campaignMethod
Indicates the method or approach used to conduct or deliver a campaign.
-
E.
campaignSpecific
Indicates that something is restricted or tailored to a particular campaign, rather than being general or shared across multiple campaigns.
- 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 7:40 p.m.