Triple
T7685821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christer Fuglesang |
E174113
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fuglesang
Fuglesang is a Norwegian-origin surname most notably borne by Swedish physicist and European Space Agency astronaut Christer Fuglesang.
|
E681658
|
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: Fuglesang | Statement: [Christer Fuglesang, familyName, Fuglesang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuglesang Context triple: [Christer Fuglesang, familyName, Fuglesang]
-
A.
Fuglset
Fuglset is a small island associated with the coastal town of Molde in western Norway.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Frogn
Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
-
D.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
E.
Fugloy
Fugloy is a small, remote island in the northeastern Faroe Islands, known for its dramatic cliffs, rich birdlife, and traditional village life.
- 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: Fuglesang Triple: [Christer Fuglesang, familyName, Fuglesang]
Generated description
Fuglesang is a Norwegian-origin surname most notably borne by Swedish physicist and European Space Agency astronaut Christer Fuglesang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuglesang Target entity description: Fuglesang is a Norwegian-origin surname most notably borne by Swedish physicist and European Space Agency astronaut Christer Fuglesang.
-
A.
Fuglset
Fuglset is a small island associated with the coastal town of Molde in western Norway.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Frogn
Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
-
D.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
E.
Fugloy
Fugloy is a small, remote island in the northeastern Faroe Islands, known for its dramatic cliffs, rich birdlife, and traditional village life.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7022118908190a3a93cfda79be0a4 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a25c2a308190908ffdd2f0b7262f |
completed | March 29, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69c8a37c995881908c71791c6cc002f3 |
completed | March 29, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3fe63a4819086bcb5f80cdbd30b |
completed | March 29, 2026, 4:01 a.m. |
Created at: March 27, 2026, 4:02 p.m.