Triple

T3823100
Position Surface form Disambiguated ID Type / Status
Subject Newell Brands Inc. E88621 entity
Predicate brand P1500 FINISHED
Object Rubbermaid
Rubbermaid is a well-known American brand specializing in household and commercial products such as food storage containers, trash cans, and cleaning and organization solutions.
 E391047 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: Rubbermaid | Statement: [Newell Brands Inc., brand, Rubbermaid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rubbermaid
Context triple: [Newell Brands Inc., brand, Rubbermaid]
  • A. Diversey
    Diversey is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Park/Lakeview area of Chicago.
  • B. Behrs
    Behrs is the maiden surname of Sophia Tolstaya, the wife of Russian novelist Leo Tolstoy, and belongs to a Russian noble family.
  • C. Danby
    Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
  • D. Danby
    Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
  • E. Murphey
    Murphey is a less common spelling variant of the surname Murphy, which is of Irish origin.
  • 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: Rubbermaid
Triple: [Newell Brands Inc., brand, Rubbermaid]
Generated description
Rubbermaid is a well-known American brand specializing in household and commercial products such as food storage containers, trash cans, and cleaning and organization solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rubbermaid
Target entity description: Rubbermaid is a well-known American brand specializing in household and commercial products such as food storage containers, trash cans, and cleaning and organization solutions.
  • A. Diversey
    Diversey is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Park/Lakeview area of Chicago.
  • B. Behrs
    Behrs is the maiden surname of Sophia Tolstaya, the wife of Russian novelist Leo Tolstoy, and belongs to a Russian noble family.
  • C. Danby
    Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
  • D. Danby
    Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
  • E. Murphey
    Murphey is a less common spelling variant of the surname Murphy, which is of Irish origin.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea63fe2c8190825f6e9451f6aa50 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4c70008190bb8712f46f40d6f8 completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4fc5747208190a7af99c10014080e completed March 14, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_69b4fcc395ec8190a781e982b935c2f6 completed March 14, 2026, 6:14 a.m.
Created at: March 9, 2026, 3:17 p.m.