Triple
T10536857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Lyle Williams |
E248587
|
entity |
| Predicate | founderOf |
P104
|
FINISHED |
| Object | Maybelline |
E28311
|
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: Maybelline | Statement: [Thomas Lyle Williams, founderOf, Maybelline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maybelline Context triple: [Thomas Lyle Williams, founderOf, Maybelline]
-
A.
Maybelline New York
chosen
Maybelline New York is a major American cosmetics and beauty brand known worldwide for its mass-market makeup products.
-
B.
Revlon
Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
-
C.
Benefit Cosmetics
Benefit Cosmetics is a San Francisco–born beauty brand known for its playful packaging and bestselling brow and complexion products, and is part of the luxury group LVMH.
-
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.
Essie
Essie is a popular nail polish and nail care brand known for its wide range of fashion-forward colors and salon-quality formulas.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a554fb4819081e9618bab051dc6 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b3d6f6c81908d8247da9d9caab2 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:31 p.m.