Triple
T18575352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorolf Rafto |
E453971
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thorolf Rafto |
—
|
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: Thorolf Rafto | Statement: [Thorolf Rafto, name, Thorolf Rafto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorolf Rafto Context triple: [Thorolf Rafto, name, Thorolf Rafto]
-
A.
Thorolf Rafto
chosen
Thorolf Rafto was a Norwegian human rights advocate and professor of economics whose legacy is honored through the international Rafto Prize for human rights.
-
B.
Lars Stalfors
Lars Stalfors is a music producer, mixer, and engineer known for his work with alternative and indie rock artists.
-
C.
Ragnar Tørnquist
Ragnar Tørnquist is a Norwegian video game designer and writer best known as the creator of the acclaimed adventure game series *The Longest Journey* and *Dreamfall*.
-
D.
Anders Gyldenklou
Anders Gyldenklou was a Swedish nobleman and statesman who rose to one of the highest financial and political offices in the Swedish realm.
-
E.
Henrik Hanssen
Henrik Hanssen is a fictional, austere and highly intelligent Swedish-born surgeon and hospital manager in the BBC medical drama series Holby City.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c9d26c8190a80dda411cd0c9ac |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.