Triple

T8800330
Position Surface form Disambiguated ID Type / Status
Subject Craig Kielburger E209389 entity
Predicate coFounderOf P104 FINISHED
Object ME to WE
ME to WE is a social enterprise that supports youth empowerment and global development initiatives through ethically sourced products, volunteer trips, and educational programs.
 E759275 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: ME to WE | Statement: [Craig Kielburger, coFounderOf, ME to WE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME to WE
Context triple: [Craig Kielburger, coFounderOf, ME to WE]
  • A. WE
    WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
  • B. MEU
    MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
  • C. Weme
    Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • D. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • E. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • 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: ME to WE
Triple: [Craig Kielburger, coFounderOf, ME to WE]
Generated description
ME to WE is a social enterprise that supports youth empowerment and global development initiatives through ethically sourced products, volunteer trips, and educational programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME to WE
Target entity description: ME to WE is a social enterprise that supports youth empowerment and global development initiatives through ethically sourced products, volunteer trips, and educational programs.
  • A. WE
    WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
  • B. MEU
    MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
  • C. Weme
    Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • D. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • E. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb8aab88190befed16301e08efc completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f6fdd688190bf40bbde0be991e1 completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf718a6f2c81908f8b8d08a1437749 completed April 3, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69cf7275fea08190b8999fb30663ff17 completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:44 p.m.