Triple
T17990559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam's Apples |
E430357
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Jeppe Kaas
Jeppe Kaas is a Danish composer and musician known for his film and television scores.
|
E1304617
|
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: Jeppe Kaas | Statement: [Adam's Apples, musicBy, Jeppe Kaas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeppe Kaas Context triple: [Adam's Apples, musicBy, Jeppe Kaas]
-
A.
Mads Nipper
Mads Nipper is a Danish business executive known for his leadership roles in major global companies and his advocacy for sustainable, purpose-driven business.
-
B.
Jesper Christensen
Jesper Christensen is a Danish actor known internationally for his roles in European cinema and major Hollywood films, including the James Bond series.
-
C.
Jesper Nøhr
Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
-
D.
Jeppe Aakjær
Jeppe Aakjær was a prominent Danish poet and novelist associated with the Jutland movement, known for his socially conscious rural writings and contributions to early 20th-century Danish literature.
-
E.
Ole Kirk Christiansen
Ole Kirk Christiansen was a Danish carpenter and entrepreneur who founded the LEGO company and pioneered its iconic building toys.
- 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: Jeppe Kaas Triple: [Adam's Apples, musicBy, Jeppe Kaas]
Generated description
Jeppe Kaas is a Danish composer and musician known for his film and television scores.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeppe Kaas Target entity description: Jeppe Kaas is a Danish composer and musician known for his film and television scores.
-
A.
Mads Nipper
Mads Nipper is a Danish business executive known for his leadership roles in major global companies and his advocacy for sustainable, purpose-driven business.
-
B.
Jesper Christensen
Jesper Christensen is a Danish actor known internationally for his roles in European cinema and major Hollywood films, including the James Bond series.
-
C.
Jesper Nøhr
Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
-
D.
Jeppe Aakjær
Jeppe Aakjær was a prominent Danish poet and novelist associated with the Jutland movement, known for his socially conscious rural writings and contributions to early 20th-century Danish literature.
-
E.
Ole Kirk Christiansen
Ole Kirk Christiansen was a Danish carpenter and entrepreneur who founded the LEGO company and pioneered its iconic building toys.
- 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_6a035659e45c8190b9d5ac65ef12c590 |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03570ec17c8190b20a9fe95cafe797 |
completed | May 12, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03577e24548190ac4539fc03a376e6 |
completed | May 12, 2026, 4:38 p.m. |
Created at: April 10, 2026, 10:23 a.m.