Triple
T3428403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LVMH |
E72279
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
Rimowa
Rimowa is a German luxury luggage manufacturer renowned for its high-quality aluminum and polycarbonate suitcases with distinctive grooved designs.
|
E356399
|
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: Rimowa | Statement: [LVMH, ownsBrand, Rimowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rimowa Context triple: [LVMH, ownsBrand, Rimowa]
-
A.
Louis Vuitton
Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
-
B.
Hugo Boss
Hugo Boss is a German luxury fashion house known for its high-end menswear, fragrances, and accessories.
-
C.
Kering
Kering is a French multinational luxury group that owns and manages high-end fashion and leather goods brands such as Gucci, Saint Laurent, and Bottega Veneta.
-
D.
Kate Spade
Kate Spade was an American fashion designer and businesswoman best known for her colorful, playful handbags and for founding the Kate Spade New York brand.
-
E.
Fendi
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
- 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: Rimowa Triple: [LVMH, ownsBrand, Rimowa]
Generated description
Rimowa is a German luxury luggage manufacturer renowned for its high-quality aluminum and polycarbonate suitcases with distinctive grooved designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rimowa Target entity description: Rimowa is a German luxury luggage manufacturer renowned for its high-quality aluminum and polycarbonate suitcases with distinctive grooved designs.
-
A.
Louis Vuitton
Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
-
B.
Hugo Boss
Hugo Boss is a German luxury fashion house known for its high-end menswear, fragrances, and accessories.
-
C.
Kering
Kering is a French multinational luxury group that owns and manages high-end fashion and leather goods brands such as Gucci, Saint Laurent, and Bottega Veneta.
-
D.
Kate Spade
Kate Spade was an American fashion designer and businesswoman best known for her colorful, playful handbags and for founding the Kate Spade New York brand.
-
E.
Fendi
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35546dfa0819081800009fbe8afe3 |
completed | March 13, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b355cecc4c81908ecb5f83e89b4a00 |
completed | March 13, 2026, 12:09 a.m. |
Created at: March 8, 2026, 3:15 p.m.