Triple
T6533537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Lash mascara |
E152289
|
entity |
| Predicate | packagingDesign |
P1529
|
FINISHED |
| Object | pink-and-green tube |
—
|
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: pink-and-green tube | Statement: [Great Lash mascara, packagingDesign, pink-and-green tube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packagingDesign Context triple: [Great Lash mascara, packagingDesign, pink-and-green tube]
-
A.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
B.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
-
C.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
D.
frontDesign
Indicates that one entity serves as the primary or visible front-facing design or appearance of another entity.
-
E.
designIntent
Indicates the underlying purpose, rationale, or functional goal that guided the creation or configuration of something.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adbf3a748190b0fb52122faaf6d3 |
completed | March 27, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.