Triple
T3081347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Arnault |
E64261
|
entity |
| Predicate | businessInterest |
P3849
|
FINISHED |
| Object |
Loro Piana
Loro Piana is an Italian luxury fashion and textiles brand renowned for its ultra-high-end cashmere and fine wool products.
|
E324688
|
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: Loro Piana | Statement: [Bernard Arnault, businessInterest, Loro Piana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loro Piana Context triple: [Bernard Arnault, businessInterest, Loro Piana]
-
A.
Missoni
Missoni is an Italian luxury fashion house renowned for its colorful knitwear and distinctive zigzag patterns.
-
B.
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.
-
C.
Etro
Etro is an Italian luxury fashion house renowned for its vibrant prints, paisley patterns, and eclectic, bohemian-inspired designs.
-
D.
Armani
Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
-
E.
Hugo Boss
Hugo Boss is a German luxury fashion house known for its high-end menswear, fragrances, and accessories.
- 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: Loro Piana Triple: [Bernard Arnault, businessInterest, Loro Piana]
Generated description
Loro Piana is an Italian luxury fashion and textiles brand renowned for its ultra-high-end cashmere and fine wool products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loro Piana Target entity description: Loro Piana is an Italian luxury fashion and textiles brand renowned for its ultra-high-end cashmere and fine wool products.
-
A.
Missoni
Missoni is an Italian luxury fashion house renowned for its colorful knitwear and distinctive zigzag patterns.
-
B.
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.
-
C.
Etro
Etro is an Italian luxury fashion house renowned for its vibrant prints, paisley patterns, and eclectic, bohemian-inspired designs.
-
D.
Armani
Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
-
E.
Hugo Boss
Hugo Boss is a German luxury fashion house known for its high-end menswear, fragrances, and accessories.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1aaf6d48190af4f9106965589b0 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89443a4819091dafc560b45cc26 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f93d5b208190835093f453fd33ab |
completed | March 11, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9ea9b908190a86e2b79a89e0283 |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.