Triple

T496484
Position Surface form Disambiguated ID Type / Status
Subject Christopher Luxon E10304 entity
Predicate employer P7 FINISHED
Object Unilever
Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
 E61784 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: Unilever | Statement: [Christopher Luxon, employer, Unilever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unilever
Context triple: [Christopher Luxon, employer, Unilever]
  • A. Nestlé
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • B. Colgate-Palmolive
    Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
  • C. 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.
  • D. L'Oréal
    L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
  • E. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • 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: Unilever
Triple: [Christopher Luxon, employer, Unilever]
Generated description
Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unilever
Target entity description: Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
  • A. Nestlé
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • B. Colgate-Palmolive
    Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
  • C. 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.
  • D. L'Oréal
    L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
  • E. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f115334881908ac5ab96c7f4214e completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2f3a148190b1d81f0836063171 completed March 1, 2026, 5:53 p.m.
NEDg Description generation batch_69a47eb3d90c81908e633300c0c8011b completed March 1, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69a47f71e9408190b82f277bb74c2a13 completed March 1, 2026, 6:03 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.