Triple
T32668217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When It Rains It Pours campaign |
E835214
|
entity |
| Predicate | brandAssetLeveraged |
P108712
|
FINISHED |
| Object | Morton Salt Girl |
—
|
NE NERFINISHED |
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: Morton Salt Girl | Statement: [When It Rains It Pours campaign, brandAssetLeveraged, Morton Salt Girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandAssetLeveraged Context triple: [When It Rains It Pours campaign, brandAssetLeveraged, Morton Salt Girl]
-
A.
brandEndorsement
Indicates that one entity publicly supports, recommends, or promotes another entity’s brand, product, or service.
-
B.
sponsorshipAsset
Indicates a relationship where one party provides sponsorship resources or support to another party, event, or initiative as an asset of that sponsorship arrangement.
-
C.
brandVisibility
Indicates how prominently and frequently a brand is noticed or recognized by its target audience across relevant channels.
-
D.
brandAssociationType
chosen
Indicates the specific nature of the relationship or association that exists between a brand and another entity (such as a product, organization, or campaign).
-
E.
brandPosition
Indicates the relative market or perceptual placement of a brand compared to competitors or within a defined category.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:08 a.m.