Triple
T7203565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYX Professional Makeup |
E148609
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Toni Ko
Toni Ko is a Korean-American entrepreneur best known as the founder of NYX Professional Makeup, a highly successful affordable cosmetics brand later acquired by L’Oréal.
|
E649087
|
NE FINISHED |
How this triple was built (4 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: Toni Ko | Statement: [NYX Professional Makeup, foundedBy, Toni Ko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Ko Context triple: [NYX Professional Makeup, foundedBy, Toni Ko]
-
A.
Toni Tintor
Toni Tintor is a musician best known for having been an early member of the American punk rock band Rise Against.
-
B.
Tania Kosevich
Tania Kosevich is best known as the wife of British comedian, actor, and Monty Python member Eric Idle.
-
C.
Toni
Toni is a common diminutive given name, typically used as a shorter or more familiar form of names like Anton, Anthony, or Antonia.
-
D.
Anna Konkle
Anna Konkle is an American actress, writer, and producer best known for co-creating and starring in the coming-of-age comedy series "PEN15."
-
E.
Anna Koreff
Anna Koreff is a central character in the 1956 film "Anastasia," depicted as a troubled amnesiac woman who may be the surviving Grand Duchess Anastasia of Russia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Toni Ko Triple: [NYX Professional Makeup, foundedBy, Toni Ko]
Generated description
Toni Ko is a Korean-American entrepreneur best known as the founder of NYX Professional Makeup, a highly successful affordable cosmetics brand later acquired by L’Oréal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Ko Target entity description: Toni Ko is a Korean-American entrepreneur best known as the founder of NYX Professional Makeup, a highly successful affordable cosmetics brand later acquired by L’Oréal.
-
A.
Toni Tintor
Toni Tintor is a musician best known for having been an early member of the American punk rock band Rise Against.
-
B.
Tania Kosevich
Tania Kosevich is best known as the wife of British comedian, actor, and Monty Python member Eric Idle.
-
C.
Toni
Toni is a common diminutive given name, typically used as a shorter or more familiar form of names like Anton, Anthony, or Antonia.
-
D.
Anna Konkle
Anna Konkle is an American actress, writer, and producer best known for co-creating and starring in the coming-of-age comedy series "PEN15."
-
E.
Anna Koreff
Anna Koreff is a central character in the 1956 film "Anastasia," depicted as a troubled amnesiac woman who may be the surviving Grand Duchess Anastasia of Russia.
- F. None of above. chosen
Provenance (5 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94bfb2c81909ab492757435fce4 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfb5e27c8190867fb4968dea2e4e |
completed | March 28, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c7c0e45cc48190bea1daf65e5650b3 |
completed | March 28, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c13e64208190ba76f5c6a0df40db |
completed | March 28, 2026, 11:53 a.m. |
Created at: March 27, 2026, 2:52 p.m.