Triple
T5148428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lantana |
E116131
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Karl Sodersten
Karl Sodersten is a film editor known for his work on the Australian psychological thriller "Lantana."
|
E499539
|
NE FINISHED |
How this triple was built (4 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, editedBy, Karl Sodersten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Sodersten Context triple: [Lantana, editedBy, Karl Sodersten]
-
A.
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.
-
B.
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."
-
C.
Emil Sodersten
Emil Sodersten was a prominent Australian architect of the early 20th century, noted for his influential modernist and Art Deco designs.
-
D.
Ingvar Carlsson
Ingvar Carlsson is a Swedish Social Democratic politician who served as Prime Minister of Sweden in the late 20th century, succeeding Olof Palme.
-
E.
Karl Swenson
Karl Swenson was an American character actor known for his numerous supporting roles in film, radio, and television during the mid-20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karl Sodersten Triple: [Lantana, editedBy, Karl Sodersten]
Generated description
Karl Sodersten is a film editor known for his work on the Australian psychological thriller "Lantana."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karl Sodersten Target entity description: Karl Sodersten is a film editor known for his work on the Australian psychological thriller "Lantana."
-
A.
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.
-
B.
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."
-
C.
Emil Sodersten
Emil Sodersten was a prominent Australian architect of the early 20th century, noted for his influential modernist and Art Deco designs.
-
D.
Ingvar Carlsson
Ingvar Carlsson is a Swedish Social Democratic politician who served as Prime Minister of Sweden in the late 20th century, succeeding Olof Palme.
-
E.
Karl Swenson
Karl Swenson was an American character actor known for his numerous supporting roles in film, radio, and television during the mid-20th century.
- F. None of above. chosen
Provenance (5 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed9235de88190b3698a90af91c33d |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69bedaaca3d0819089ef56835ba254b0 |
completed | March 21, 2026, 5:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedb1ae560819084de6275b6ebaa23 |
completed | March 21, 2026, 5:53 p.m. |
Created at: March 20, 2026, 1:43 p.m.