Triple
T6107703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That's What I Like |
E136155
|
entity |
| Predicate | marketingType |
P33815
|
FINISHED |
| Object | consumer advertising 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: consumer advertising slogan | Statement: [That's What I Like, marketingType, consumer advertising slogan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingType Context triple: [That's What I Like, marketingType, consumer advertising slogan]
-
A.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
B.
marketingAs
Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
-
C.
promotionType
chosen
Indicates the specific kind or category of promotion associated with an entity or event.
-
D.
marketingUse
Indicates that something is used for marketing purposes, such as promotion, advertising, or brand communication.
-
E.
marketingModel
Indicates a relationship where an entity uses or is associated with a specific marketing model, framework, or strategy to guide promotional or market-related decisions.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.