Triple

T3081346
Position Surface form Disambiguated ID Type / Status
Subject Bernard Arnault E64261 entity
Predicate businessInterest P3849 FINISHED
Object Celine
Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
 E324687 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: Celine | Statement: [Bernard Arnault, businessInterest, Celine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Celine
Context triple: [Bernard Arnault, businessInterest, Celine]
  • A. Céline
    Céline is the French given name of internationally renowned Canadian singer Céline Dion.
  • B. Fleurie
    Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
  • C. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • D. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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: Celine
Triple: [Bernard Arnault, businessInterest, Celine]
Generated description
Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Celine
Target entity description: Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
  • A. Céline
    Céline is the French given name of internationally renowned Canadian singer Céline Dion.
  • B. Fleurie
    Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
  • C. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • D. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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.