Triple
T27571863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice lipsticks |
E696057
|
entity |
| Predicate | shadeCount |
P162712
|
FINISHED |
| Object | large shade selection |
—
|
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: large shade selection | Statement: [Vice lipsticks, shadeCount, large shade selection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shadeCount Context triple: [Vice lipsticks, shadeCount, large shade selection]
-
A.
shadeProvision
Indicates that one entity provides or creates shade or shadow for another entity.
-
B.
shadeColor
Indicates that one entity has a specific shade or variation of color associated with it.
-
C.
shaded
Indicates that one entity partially or fully blocks light from reaching another, resulting in the latter being in shadow.
-
D.
shadeMaterial
Indicates that one entity serves as the material or substance used to provide shade for another entity.
-
E.
hasShadowLength
Indicates that one entity (typically an object casting a shadow) is associated with a specific length of its shadow.
- F. None of above. chosen
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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62fec821081909ae17c4c3bdcae19 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d14c24c81909e86678c1b5fd429 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 27, 2026, 1:43 p.m.