Triple
T215734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Oréal |
E4816
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
L'Oréal Luxe
L'Oréal Luxe is the luxury division of L'Oréal that manages the group’s high-end beauty, skincare, and fragrance brands worldwide.
|
E4816
|
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: L'Oréal Luxe | Statement: [L'Oréal, hasDivision, L'Oréal Luxe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L'Oréal Luxe Context triple: [L'Oréal, hasDivision, L'Oréal Luxe]
-
A.
L'Oréal
L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
-
B.
Elizabeth Arden
Elizabeth Arden was a pioneering Canadian-American businesswoman who founded the Elizabeth Arden cosmetics empire and helped shape the modern beauty industry.
-
C.
LUX
LUX is the three-letter ISO 3166-1 alpha-3 country code assigned to Luxembourg.
-
D.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
E.
Colgate-Palmolive
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
- 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: L'Oréal Luxe Triple: [L'Oréal, hasDivision, L'Oréal Luxe]
Generated description
L'Oréal Luxe is the luxury division of L'Oréal that manages the group’s high-end beauty, skincare, and fragrance brands worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L'Oréal Luxe Target entity description: L'Oréal Luxe is the luxury division of L'Oréal that manages the group’s high-end beauty, skincare, and fragrance brands worldwide.
-
A.
L'Oréal
chosen
L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
-
B.
Elizabeth Arden
Elizabeth Arden was a pioneering Canadian-American businesswoman who founded the Elizabeth Arden cosmetics empire and helped shape the modern beauty industry.
-
C.
LUX
LUX is the three-letter ISO 3166-1 alpha-3 country code assigned to Luxembourg.
-
D.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
E.
Colgate-Palmolive
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
- F. None of above.
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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4ca0c8819093f63c6371e2d140 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a33e3f66888190a05ddcb0af4d3c5f |
completed | Feb. 28, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69a33ee88af08190bfe81fba01856829 |
completed | Feb. 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34295afa88190aae0d75a337967e3 |
completed | Feb. 28, 2026, 7:31 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.