Triple
T10395205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snowman (2017 film) |
E244991
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Søren Sveistrup |
E866535
|
NE FINISHED |
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: Søren Sveistrup | Statement: [The Snowman (2017 film), screenwriter, Søren Sveistrup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Søren Sveistrup Context triple: [The Snowman (2017 film), screenwriter, Søren Sveistrup]
-
A.
Søren Sveistrup
chosen
Søren Sveistrup is a Danish screenwriter best known for creating the acclaimed crime series "The Killing" and for his work on various Nordic noir projects.
-
B.
Jesper Nøhr
Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
-
C.
Peter Aalbæk Jensen
Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
-
D.
Ingvard Eversen Nielsen
Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
-
E.
Søren Christensen
Søren Christensen is a notable individual who shares the surname Christensen and has achieved sufficient recognition to be specifically distinguished among its bearers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9ce6bb08190bfeaba98a126526d |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b1d5b388190841ed0df2145ad7a |
completed | April 10, 2026, 9:26 p.m. |
Created at: April 6, 2026, 12:06 p.m.