Triple

T2784812
Position Surface form Disambiguated ID Type / Status
Subject Unilever E61784 entity
Predicate hasBrand P1500 FINISHED
Object Knorr
Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
E297557 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: Knorr | Statement: [Unilever, hasBrand, Knorr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knorr
Context triple: [Unilever, hasBrand, Knorr]
  • A. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • B. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • C. Kraft Foods
    Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
  • D. Kraft Group
    Kraft Group is a privately held American conglomerate best known for its ownership of major New England sports franchises and extensive interests in paper, packaging, real estate, and private equity.
  • E. Nestlé
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • 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: Knorr
Triple: [Unilever, hasBrand, Knorr]
Generated description
Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Knorr
Target entity description: Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
  • A. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • B. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • C. Kraft Foods
    Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
  • D. Kraft Group
    Kraft Group is a privately held American conglomerate best known for its ownership of major New England sports franchises and extensive interests in paper, packaging, real estate, and private equity.
  • E. Nestlé
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddaf223c8190959bb0b336e5b7c0 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0629e8c81909b55d9838e681ba2 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.