Triple
T32668222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When It Rains It Pours campaign |
E835214
|
entity |
| Predicate | associatedWithPackagingText |
P8272
|
FINISHED |
| Object | When It Rains It Pours |
E838501
|
NE 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: When It Rains It Pours | Statement: [When It Rains It Pours campaign, associatedWithPackagingText, When It Rains It Pours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPackagingText Context triple: [When It Rains It Pours campaign, associatedWithPackagingText, When It Rains It Pours]
-
A.
associatedWithText
chosen
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
-
B.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
-
C.
commonPackagingFeatures
Indicates that two or more products share the same or very similar packaging characteristics or design elements.
-
D.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
E.
colorOfPackaging
Indicates the color attribute associated with the packaging of an item or product.
- F. None of above.
Provenance (4 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_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34bcde2240819086fc58b2dae411ae |
completed | June 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:08 a.m.