Triple
T215738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Oréal |
E4816
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
Lancôme
Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
|
E27682
|
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: Lancôme | Statement: [L'Oréal, ownsBrand, Lancôme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lancôme Context triple: [L'Oréal, ownsBrand, Lancôme]
-
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.
F. Muguet
F. Muguet was a 17th-century Parisian printer-publisher known for producing significant scientific works, including those of Christiaan Huygens.
-
D.
LUX
LUX is the three-letter ISO 3166-1 alpha-3 country code assigned to Luxembourg.
-
E.
HauteLook
HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
- 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: Lancôme Triple: [L'Oréal, ownsBrand, Lancôme]
Generated description
Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lancôme Target entity description: Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
-
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.
F. Muguet
F. Muguet was a 17th-century Parisian printer-publisher known for producing significant scientific works, including those of Christiaan Huygens.
-
D.
LUX
LUX is the three-letter ISO 3166-1 alpha-3 country code assigned to Luxembourg.
-
E.
HauteLook
HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
- 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_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_69a3441cc15c8190910b1b9e5dbb4910 |
completed | Feb. 28, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_69a344e390f4819090ec79beb681310a |
completed | Feb. 28, 2026, 7:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34551abac8190a1d3f2fc3f783c71 |
completed | Feb. 28, 2026, 7:43 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.