Triple
T20063363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lantana |
E499539
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Karl Sodersten |
—
|
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: Karl Sodersten | Statement: [Lantana, editor, Karl Sodersten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Sodersten Context triple: [Lantana, editor, Karl Sodersten]
-
A.
Karl Sodersten
chosen
Karl Sodersten is a film editor known for his work on the Australian psychological thriller "Lantana."
-
B.
Christopher Akerlind
Christopher Akerlind is an American lighting designer renowned for his work in theatre, opera, and Broadway productions, including multiple award-winning designs.
-
C.
Christian Lundeberg
Christian Lundeberg was a Swedish conservative politician who briefly served as Prime Minister of Sweden in 1905 during the dissolution of the union with Norway.
-
D.
Karl Sunesson
Karl Sunesson was a medieval Swedish nobleman, known as a member of the influential family that included his brother Magnus Minnesköld, ancestor of the royal House of Bjelbo.
-
E.
Carl Molinder
Carl Molinder is a Swedish film producer best known for his work on the critically acclaimed horror drama "Let the Right One In."
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66377b6b48190a0a37279f285123e |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.