Triple
T22092849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domino (2019 film) |
E545951
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Petter Skavlan |
—
|
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: Petter Skavlan | Statement: [Domino (2019 film), writer, Petter Skavlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petter Skavlan Context triple: [Domino (2019 film), writer, Petter Skavlan]
-
A.
Petter Skavlan
chosen
Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
-
B.
Torbjørn Sikkeland
Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
-
C.
Pål Røed
Pål Røed is a Norwegian film producer known for his work on international productions, including the crime thriller "The Snowman" (2017).
-
D.
Jørgen Løvland
Jørgen Løvland was a Norwegian statesman and educator who served as Prime Minister and held several key ministerial posts during the early years of Norway’s independence.
-
E.
Geir Karlsen
Geir Karlsen is a Norwegian business executive best known for leading the low-cost airline Norwegian Air Shuttle through a major financial restructuring and recovery.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.