Triple
T17306354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesper Kyd |
E420173
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Hørsholm
Hørsholm is a suburban town in eastern Denmark, located north of Copenhagen in the Capital Region.
|
E1262077
|
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: Hørsholm | Statement: [Jesper Kyd, placeOfBirth, Hørsholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hørsholm Context triple: [Jesper Kyd, placeOfBirth, Hørsholm]
-
A.
Hellerup
Hellerup is a suburban district just north of central Copenhagen, known for its affluent residential areas, seaside location, and role as a key transport and commercial hub.
-
B.
Herlev
Herlev is a suburban municipality and town in the Capital Region of Denmark, located just northwest of central Copenhagen.
-
C.
Frederiksberg
Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
-
D.
Ballerup
Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
-
E.
Tårnby
Tårnby is a town on the island of Amager in eastern Denmark, forming part of the Copenhagen metropolitan area.
- 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: Hørsholm Triple: [Jesper Kyd, placeOfBirth, Hørsholm]
Generated description
Hørsholm is a suburban town in eastern Denmark, located north of Copenhagen in the Capital Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hørsholm Target entity description: Hørsholm is a suburban town in eastern Denmark, located north of Copenhagen in the Capital Region.
-
A.
Hellerup
Hellerup is a suburban district just north of central Copenhagen, known for its affluent residential areas, seaside location, and role as a key transport and commercial hub.
-
B.
Herlev
Herlev is a suburban municipality and town in the Capital Region of Denmark, located just northwest of central Copenhagen.
-
C.
Frederiksberg
Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
-
D.
Ballerup
Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
-
E.
Tårnby
Tårnby is a town on the island of Amager in eastern Denmark, forming part of the Copenhagen metropolitan area.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e438ff3ee08190ab4c44a22f86b38b |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e0c1b881908aa2b6b4d8ac04b6 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a018455d4948190a88f0617172f0a4e |
completed | May 11, 2026, 7:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0184b3dfc081908662c83d7d5ea41d |
completed | May 11, 2026, 7:26 a.m. |
Created at: April 10, 2026, 5:43 a.m.