Triple
T32668192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When It Rains It Pours campaign |
E835214
|
entity |
| Predicate | emphasizesProductAttribute |
P103513
|
FINISHED |
| Object | free-flowing |
—
|
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: free-flowing | Statement: [When It Rains It Pours campaign, emphasizesProductAttribute, free-flowing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesProductAttribute Context triple: [When It Rains It Pours campaign, emphasizesProductAttribute, free-flowing]
-
A.
emphasizesAttributeOfHermes
Indicates that something highlights or draws special attention to a particular attribute or characteristic of Hermes.
-
B.
highlightsAttributeOf
Indicates that one entity draws attention to, emphasizes, or showcases a particular attribute or property of another entity.
-
C.
brandAttribute
Indicates that a specific attribute or characteristic is associated with, or describes, a particular brand.
-
D.
productCharacteristic
chosen
Indicates that a product possesses, exhibits, or is defined by a specific characteristic or attribute.
-
E.
designEmphasizes
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
- 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_69f6c7aa36f88190b971c98682535c86 |
completed | May 3, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:08 a.m.