Triple
T13902499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pass |
E334259
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Arttu Silvast
Arttu Silvast is a Finnish composer and music producer known for his work on film and television scores, including the soundtrack for "The Pass."
|
E1068752
|
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: Arttu Silvast | Statement: [The Pass, musicBy, Arttu Silvast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arttu Silvast Context triple: [The Pass, musicBy, Arttu Silvast]
-
A.
Joonas Suotamo
Joonas Suotamo is a Finnish actor and former professional basketball player best known for portraying Chewbacca in the Star Wars sequel trilogy and related films.
-
B.
Timo Sarpaneva
Timo Sarpaneva was a renowned Finnish designer and glass artist celebrated for his innovative, modernist creations that helped define Scandinavian design in the 20th century.
-
C.
Ali Aaltonen
Ali Aaltonen was a Finnish military officer who played a notable leadership role on the Red side during the Finnish Civil War.
-
D.
Samuli Laine
Samuli Laine is a computer graphics and machine learning researcher known for his work at NVIDIA, including co-developing the influential StyleGAN generative adversarial network architecture.
-
E.
Jaakko Lehtinen
Jaakko Lehtinen is a computer graphics and machine learning researcher known for his influential work on generative models and neural rendering techniques.
- 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: Arttu Silvast Triple: [The Pass, musicBy, Arttu Silvast]
Generated description
Arttu Silvast is a Finnish composer and music producer known for his work on film and television scores, including the soundtrack for "The Pass."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arttu Silvast Target entity description: Arttu Silvast is a Finnish composer and music producer known for his work on film and television scores, including the soundtrack for "The Pass."
-
A.
Joonas Suotamo
Joonas Suotamo is a Finnish actor and former professional basketball player best known for portraying Chewbacca in the Star Wars sequel trilogy and related films.
-
B.
Timo Sarpaneva
Timo Sarpaneva was a renowned Finnish designer and glass artist celebrated for his innovative, modernist creations that helped define Scandinavian design in the 20th century.
-
C.
Ali Aaltonen
Ali Aaltonen was a Finnish military officer who played a notable leadership role on the Red side during the Finnish Civil War.
-
D.
Samuli Laine
Samuli Laine is a computer graphics and machine learning researcher known for his work at NVIDIA, including co-developing the influential StyleGAN generative adversarial network architecture.
-
E.
Jaakko Lehtinen
Jaakko Lehtinen is a computer graphics and machine learning researcher known for his influential work on generative models and neural rendering techniques.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c722e72081909090b2d64000ebd9 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c83a3e04819097b6e0b5a3161b9a |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.