Triple
T19702977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adbusters |
E473140
|
entity |
| Predicate | hasCoFounder |
P2835
|
FINISHED |
| Object | Kalle Lasn |
—
|
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: Kalle Lasn | Statement: [Adbusters, hasCoFounder, Kalle Lasn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalle Lasn Context triple: [Adbusters, hasCoFounder, Kalle Lasn]
-
A.
Kalle Lasn
chosen
Kalle Lasn is an Estonian-Canadian activist, writer, and media theorist best known for his culture-jamming work and for co-founding the anti-consumerist magazine Adbusters.
-
B.
Carl Schlyter
Carl Schlyter is a Swedish Green Party politician and former Member of the European Parliament known for his work on environmental and consumer protection issues.
-
C.
Henrik Jonback
Henrik Jonback is a Swedish songwriter and producer best known for his work on major pop hits, including Britney Spears’ “Toxic.”
-
D.
Kjell Bäckman
Kjell Bäckman was a Swedish speed skater and Olympic medalist renowned for his achievements in long-distance events during the late 1950s and early 1960s.
-
E.
Klas Östergren
Klas Östergren is a prominent Swedish novelist, screenwriter, and translator known for works such as "Gentlemen" and his contributions to contemporary Scandinavian literature.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b758348190b0cf58d6b2f13e7f |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.