Triple

T8651796
Position Surface form Disambiguated ID Type / Status
Subject Kraft Foods E205116 entity
Predicate brand P1500 FINISHED
Object Grey Poupon
Grey Poupon is a well-known premium Dijon mustard brand recognized for its smooth texture, white wine flavor, and association with upscale, gourmet dining.
 E748417 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: Grey Poupon | Statement: [Kraft Foods, brand, Grey Poupon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grey Poupon
Context triple: [Kraft Foods, brand, Grey Poupon]
  • A. Roger&Gallet
    Roger & Gallet is a historic French perfume and skincare brand known for its luxurious fragrances, soaps, and body care products.
  • B. Hellmann
    Hellmann is a common surname and brand name, most notably associated with the international mayonnaise and condiments brand.
  • C. Delamotte
    Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
  • D. Ferrero
    Ferrero is an Italian multinational confectionery and chocolate manufacturer best known for brands such as Nutella, Ferrero Rocher, Kinder, and Tic Tac.
  • E. Knorr
    Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
  • 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: Grey Poupon
Triple: [Kraft Foods, brand, Grey Poupon]
Generated description
Grey Poupon is a well-known premium Dijon mustard brand recognized for its smooth texture, white wine flavor, and association with upscale, gourmet dining.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grey Poupon
Target entity description: Grey Poupon is a well-known premium Dijon mustard brand recognized for its smooth texture, white wine flavor, and association with upscale, gourmet dining.
  • A. Roger&Gallet
    Roger & Gallet is a historic French perfume and skincare brand known for its luxurious fragrances, soaps, and body care products.
  • B. Hellmann
    Hellmann is a common surname and brand name, most notably associated with the international mayonnaise and condiments brand.
  • C. Delamotte
    Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
  • D. Ferrero
    Ferrero is an Italian multinational confectionery and chocolate manufacturer best known for brands such as Nutella, Ferrero Rocher, Kinder, and Tic Tac.
  • E. Knorr
    Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484051b48190b1d0cc63426c204d completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccc95b588190b5e44c73cf93d18b completed April 2, 2026, 8:08 p.m.
NEDg Description generation batch_69cece17c378819082069c5c5c7bb048 completed April 2, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69cecf06a4248190878623bb62d332b1 completed April 2, 2026, 8:18 p.m.
Created at: March 30, 2026, 6:29 p.m.