Triple

T5649769
Position Surface form Disambiguated ID Type / Status
Subject Georgina Chapman E124473 entity
Predicate coFounded P104 FINISHED
Object Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
E535303 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: Marchesa | Statement: [Georgina Chapman, coFounded, Marchesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marchesa
Context triple: [Georgina Chapman, coFounded, Marchesa]
  • A. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • B. Nina Ricci
    Nina Ricci is a French luxury fashion house renowned for its elegant haute couture, ready-to-wear collections, and iconic fragrances.
  • C. Auguste Dubail
    Auguste Dubail was a French Army general and senior commander during World War I, known for leading major formations on the Western Front.
  • D. Chloé
    Chloé is a French luxury fashion house renowned for its feminine ready-to-wear, leather goods, and accessories.
  • E. Miu Miu
    Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear 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: Marchesa
Triple: [Georgina Chapman, coFounded, Marchesa]
Generated description
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marchesa
Target entity description: Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • A. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • B. Nina Ricci
    Nina Ricci is a French luxury fashion house renowned for its elegant haute couture, ready-to-wear collections, and iconic fragrances.
  • C. Auguste Dubail
    Auguste Dubail was a French Army general and senior commander during World War I, known for leading major formations on the Western Front.
  • D. Chloé
    Chloé is a French luxury fashion house renowned for its feminine ready-to-wear, leather goods, and accessories.
  • E. Miu Miu
    Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d2ed648190a5152c8668cbda02 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d90c04881908740fb1089c5248a completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edcc0208190bd69b5cce89596f9 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ff814b88190ad01844ae2629c6e completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:42 p.m.