Triple
T6383923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ocean Cleanup |
E143651
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Boyan Slat |
E143651
|
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: Boyan Slat | Statement: [The Ocean Cleanup, foundedBy, Boyan Slat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boyan Slat Context triple: [The Ocean Cleanup, foundedBy, Boyan Slat]
-
A.
Boyan Slat
chosen
Boyan Slat is a Dutch inventor and environmental entrepreneur best known as the founder and CEO of The Ocean Cleanup, a project developing technologies to remove plastic pollution from the world’s oceans and rivers.
-
B.
Tim Smit
Tim Smit is a Dutch-born British businessman and conservationist best known as the co-founder and driving force behind Cornwall’s Eden Project.
-
C.
Boyan
Boyan is a male given name used in various Slavic countries, notably borne by environmental entrepreneur Boyan Slat.
-
D.
Daniel Ganz
Daniel Ganz is the son of acclaimed Swiss actor Bruno Ganz.
-
E.
Jonas Schneider
Jonas Schneider is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay technique for more efficient learning from sparse rewards.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06856434481909cbbca1c12c6e070 |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640b7e89881908e1c39d45e8a8473 |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:34 p.m.