Triple
T22233000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Kroll |
E549515
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Ecosia |
—
|
NE NERFINISHED |
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: Ecosia | Statement: [Christian Kroll, employer, Ecosia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ecosia Context triple: [Christian Kroll, employer, Ecosia]
-
A.
Ecosia
chosen
Ecosia is a privacy-focused search engine that uses its ad revenue to fund tree-planting and reforestation projects around the world.
-
B.
Brave Search
Brave Search is a privacy-focused, independent search engine developed by Brave that emphasizes user anonymity and reduced tracking.
-
C.
Qwant
Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
-
D.
GoodPlanet Foundation
GoodPlanet Foundation is a French non-profit organization dedicated to environmental protection, sustainability education, and promoting ecological awareness worldwide.
-
E.
Goole
Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf4e0348190b755a9ac0bc96cdd |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.