Triple
T17990676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Purity of Vengeance |
E430361
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jussi Adler-Olsen |
—
|
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: Jussi Adler-Olsen | Statement: [The Purity of Vengeance, author, Jussi Adler-Olsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jussi Adler-Olsen Context triple: [The Purity of Vengeance, author, Jussi Adler-Olsen]
-
A.
Jussi Adler-Olsen
chosen
Jussi Adler-Olsen is a Danish crime fiction author best known internationally for his Department Q series of thrillers.
-
B.
Michael Fossum
Michael Fossum is a NASA astronaut and U.S. Air Force colonel who flew on multiple Space Shuttle missions and later commanded the International Space Station.
-
C.
Carl Mørck
Carl Mørck is a troubled, sharp-witted Copenhagen detective who leads Department Q in Jussi Adler-Olsen’s crime novel series, specializing in cold cases.
-
D.
Jesper Kyd
Jesper Kyd is a Danish composer best known for his atmospheric and cinematic soundtracks for video games such as the Assassin’s Creed and Hitman series.
-
E.
Jo Nesbø
Jo Nesbø is a Norwegian crime fiction author and musician best known for his Harry Hole detective series and internationally bestselling thrillers.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.