Triple
T12670345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iman |
E302659
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Iman Cosmetics |
E995458
|
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: Iman Cosmetics | Statement: [Iman, founded, Iman Cosmetics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iman Cosmetics Context triple: [Iman, founded, Iman Cosmetics]
-
A.
Iman Cosmetics
chosen
Iman Cosmetics is a beauty brand founded by supermodel Iman, known for pioneering makeup products designed specifically for women of color.
-
B.
Huda Beauty
Huda Beauty is a globally popular cosmetics brand founded by makeup artist and influencer Huda Kattan, known for its trend-setting makeup products and strong social media presence.
-
C.
Kylie Cosmetics
Kylie Cosmetics is a makeup and beauty brand founded by Kylie Jenner, known for its trend-setting lip kits and social media–driven marketing.
-
D.
Armani Beauty
Armani Beauty is the cosmetics and fragrance line of the Giorgio Armani fashion house, known for its luxurious makeup, skincare, and signature perfumes.
-
E.
L’Occitane
L’Occitane is the nickname of the French A20 motorway, a major north–south route linking central France to the southwest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719fb8bc8190b581a7fcfb252404 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:20 p.m.