Triple
T15971346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huda Beauty |
E387330
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | Huda Kattan |
E1186347
|
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: Huda Kattan | Statement: [Huda Beauty, brandOwner, Huda Kattan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huda Kattan Context triple: [Huda Beauty, brandOwner, Huda Kattan]
-
A.
Huda Kattan
chosen
Huda Kattan is an Iraqi-American makeup artist, beauty influencer, and entrepreneur who built a global cosmetics empire and massive social media following through her brand Huda Beauty.
-
B.
Mona Kattan
Mona Kattan is a beauty entrepreneur and influencer best known for co-founding the global cosmetics brand Huda Beauty alongside her sister Huda Kattan.
-
C.
Alexa Mansour
Alexa Mansour is an American actress and singer best known for her leading role as Hope Bennett in the television series "The Walking Dead: World Beyond."
-
D.
Nayla Kassis
Nayla Kassis is a person bearing the surname Kassis, noted as a distinct individual associated with that family name.
-
E.
Lyna Khoudri
Lyna Khoudri is an Algerian-French actress known for her acclaimed performances in films such as "Papicha" and Wes Anderson’s "The French Dispatch."
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15729d73c8190a4140a0e55ee2566 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c5a7d48190891e69314e67e9af |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.