Triple
T8757819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icy Blast |
E208116
|
entity |
| Predicate | targetConsumerExperience |
P860
|
FINISHED |
| Object | refreshing shower |
—
|
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: refreshing shower | Statement: [Icy Blast, targetConsumerExperience, refreshing shower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetConsumerExperience Context triple: [Icy Blast, targetConsumerExperience, refreshing shower]
-
A.
customerFocus
Indicates that one entity prioritizes understanding and meeting the needs, preferences, or satisfaction of another entity (typically a customer or client).
-
B.
isConsumerOriented
Indicates that something is designed, targeted, or tailored primarily to meet the needs, preferences, or interests of consumers.
-
C.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
D.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
E.
optimizationTarget
Indicates that one entity is the goal or objective that another entity is trying to improve, optimize, or make more efficient.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.