Triple
T27571858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice lipsticks |
E696057
|
entity |
| Predicate | associatedBrandImage |
P5262
|
FINISHED |
| Object | bold makeup looks |
—
|
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: bold makeup looks | Statement: [Vice lipsticks, associatedBrandImage, bold makeup looks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBrandImage Context triple: [Vice lipsticks, associatedBrandImage, bold makeup looks]
-
A.
brandImage
chosen
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
B.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
-
C.
associatedBrandCollection
Indicates a relationship where one or more brands are grouped or linked together as part of a specific collection.
-
D.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
E.
associatedBrandMarket
Indicates that a brand is linked to, operates in, or targets a particular market.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_6a002249ee388190a9501ee7630dc658 |
completed | May 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_6a002189273881909b6b687e2d61f5b1 |
completed | May 10, 2026, 6:11 a.m. |
Created at: April 27, 2026, 1:43 p.m.