Triple
T17990607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Absent One |
E430359
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Nikolaj Egelund
Nikolaj Egelund is a Danish composer and musician known for creating film scores, including the soundtrack for the crime thriller "The Absent One."
|
E1310521
|
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: Nikolaj Egelund | Statement: [The Absent One, musicBy, Nikolaj Egelund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikolaj Egelund Context triple: [The Absent One, musicBy, Nikolaj Egelund]
-
A.
Rasmus Hedegaard
Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
-
B.
Kristian Bruun
Kristian Bruun is a Canadian actor best known for his roles in the television series "Orphan Black" and various film and TV productions.
-
C.
Mikkel Svane
Mikkel Svane is a Danish entrepreneur best known as the co-founder and longtime CEO of the customer service software company Zendesk.
-
D.
Rasmus Videbæk
Rasmus Videbæk is a Danish cinematographer known for his work on international films and television, including the 2017 adaptation of Stephen King’s "The Dark Tower."
-
E.
Rasmus Christensen
Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
- 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: Nikolaj Egelund Triple: [The Absent One, musicBy, Nikolaj Egelund]
Generated description
Nikolaj Egelund is a Danish composer and musician known for creating film scores, including the soundtrack for the crime thriller "The Absent One."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikolaj Egelund Target entity description: Nikolaj Egelund is a Danish composer and musician known for creating film scores, including the soundtrack for the crime thriller "The Absent One."
-
A.
Rasmus Hedegaard
Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
-
B.
Kristian Bruun
Kristian Bruun is a Canadian actor best known for his roles in the television series "Orphan Black" and various film and TV productions.
-
C.
Mikkel Svane
Mikkel Svane is a Danish entrepreneur best known as the co-founder and longtime CEO of the customer service software company Zendesk.
-
D.
Rasmus Videbæk
Rasmus Videbæk is a Danish cinematographer known for his work on international films and television, including the 2017 adaptation of Stephen King’s "The Dark Tower."
-
E.
Rasmus Christensen
Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397eda87c81908ce6a0110843840c |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0399364d988190a457415c9c64a68d |
completed | May 12, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0399e221308190988e728b9efb0141 |
completed | May 12, 2026, 9:21 p.m. |
Created at: April 10, 2026, 10:23 a.m.