Triple

T5842506
Position Surface form Disambiguated ID Type / Status
Subject Kering E129626 entity
Predicate owns P347 FINISHED
Object Bottega Veneta
Bottega Veneta is an Italian luxury fashion house renowned for its understated elegance and signature intrecciato leather craftsmanship.
E549693 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: Bottega Veneta | Statement: [Kering, owns, Bottega Veneta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bottega Veneta
Context triple: [Kering, owns, Bottega Veneta]
  • A. Fendi
    Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
  • B. Loewe
    Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
  • C. Prada
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • D. Berluti
    Berluti is a French luxury brand renowned for its high-end men's shoes, leather goods, and bespoke tailoring.
  • E. 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.
  • 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: Bottega Veneta
Triple: [Kering, owns, Bottega Veneta]
Generated description
Bottega Veneta is an Italian luxury fashion house renowned for its understated elegance and signature intrecciato leather craftsmanship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bottega Veneta
Target entity description: Bottega Veneta is an Italian luxury fashion house renowned for its understated elegance and signature intrecciato leather craftsmanship.
  • A. Fendi
    Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
  • B. Loewe
    Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
  • C. Prada
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • D. Berluti
    Berluti is a French luxury brand renowned for its high-end men's shoes, leather goods, and bespoke tailoring.
  • E. 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.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d9da0c8190970319d0dc2fc73f completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1a2506481908a3e638c1121bfd0 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2fd7ec081909033994e5556a6ae completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:54 p.m.