Triple
T6350973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youngstorget |
E142868
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Johan Young
Johan Young was a notable figure in Norwegian history after whom the public square Youngstorget in Oslo is named.
|
E586376
|
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: Johan Young | Statement: [Youngstorget, namedAfter, Johan Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johan Young Context triple: [Youngstorget, namedAfter, Johan Young]
-
A.
Johnathan Young
Johnathan Young is a music producer and artist best known for his rock and metal covers of popular songs and themes on YouTube.
-
B.
Colin Jacobsen
Colin Jacobsen is an American violinist and composer known for his genre-crossing work with ensembles like Brooklyn Rider and the Silk Road Ensemble.
-
C.
Joel Johnstone
Joel Johnstone is an American actor known for his work in television comedies and dramas, including notable roles on series such as Getting On and The Marvelous Mrs. Maisel.
-
D.
Adrian Young
Adrian Young is an American drummer best known for his work with the rock band No Doubt.
-
E.
Duncan Henderson
Duncan Henderson was an American film producer and production manager known for his work on major Hollywood films including "Master and Commander: The Far Side of the World."
- 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: Johan Young Triple: [Youngstorget, namedAfter, Johan Young]
Generated description
Johan Young was a notable figure in Norwegian history after whom the public square Youngstorget in Oslo is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johan Young Target entity description: Johan Young was a notable figure in Norwegian history after whom the public square Youngstorget in Oslo is named.
-
A.
Johnathan Young
Johnathan Young is a music producer and artist best known for his rock and metal covers of popular songs and themes on YouTube.
-
B.
Colin Jacobsen
Colin Jacobsen is an American violinist and composer known for his genre-crossing work with ensembles like Brooklyn Rider and the Silk Road Ensemble.
-
C.
Joel Johnstone
Joel Johnstone is an American actor known for his work in television comedies and dramas, including notable roles on series such as Getting On and The Marvelous Mrs. Maisel.
-
D.
Adrian Young
Adrian Young is an American drummer best known for his work with the rock band No Doubt.
-
E.
Duncan Henderson
Duncan Henderson was an American film producer and production manager known for his work on major Hollywood films including "Master and Commander: The Far Side of the World."
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dc2790819084aaf7067dc25733 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604546ed08190bb1c89bc5461f5cd |
completed | March 27, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69c6059ad89881909599c61f293791cc |
completed | March 27, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6065044908190b2ba71490a3bae54 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:31 p.m.