Triple

T753916
Position Surface form Disambiguated ID Type / Status
Subject Newell Brands E15510 entity
Predicate hasBrand P1500 FINISHED
Object Coleman
Coleman is a well-known outdoor recreation brand recognized for its camping gear, including tents, coolers, lanterns, and portable stoves.
 E88627 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: Coleman | Statement: [Newell Brands, hasBrand, Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coleman
Context triple: [Newell Brands, hasBrand, Coleman]
  • A. Lyman
    Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
  • B. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Donner
    Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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: Coleman
Triple: [Newell Brands, hasBrand, Coleman]
Generated description
Coleman is a well-known outdoor recreation brand recognized for its camping gear, including tents, coolers, lanterns, and portable stoves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coleman
Target entity description: Coleman is a well-known outdoor recreation brand recognized for its camping gear, including tents, coolers, lanterns, and portable stoves.
  • A. Lyman
    Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
  • B. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Donner
    Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64ecadc8190a82e25444e7abba6 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654eae9608190af3b410ecc041660 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a65555e7748190b2a55548e4058bc1 completed March 3, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69a656d5f28481908ff3fd5fb71b1440 completed March 3, 2026, 3:34 a.m.
Created at: March 1, 2026, 7:37 p.m.