Triple
T10065418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Kielburger |
E213088
|
entity |
| Predicate | coFounderOf |
P104
|
FINISHED |
| Object | ME to WE |
E759275
|
NE FINISHED |
How this triple was built (2 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: [Marc Kielburger, coFounderOf, ME to WE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ME to WE Context triple: [Marc Kielburger, coFounderOf, ME to WE]
-
A.
ME to WE
chosen
ME to WE is a social enterprise that supports youth empowerment and global development initiatives through ethically sourced products, volunteer trips, and educational programs.
-
B.
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.
-
C.
MEU
MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
-
D.
Weme
Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
-
E.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff51b108190b6759f651d4ba2d2 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a84c3308190ba9286053c1017dc |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:58 p.m.