Triple
T10393913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göran |
E244957
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Göran Gillinger
Göran Gillinger is a Swedish actor known for his work in film, television, and theater.
|
E879318
|
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: Göran Gillinger | Statement: [Göran, hasNotableBearer, Göran Gillinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göran Gillinger Context triple: [Göran, hasNotableBearer, Göran Gillinger]
-
A.
Göran Rosenberg
Göran Rosenberg is a Swedish journalist, author, and public intellectual known for his works on politics, history, and the Jewish experience in Sweden.
-
B.
Arvid Genetz
Arvid Genetz was a Finnish linguist, poet, and politician known for his contributions to Finno-Ugric language studies and his role in the Finnish national movement.
-
C.
Ferdinand Boberg
Ferdinand Boberg was a prominent Swedish architect of the late 19th and early 20th centuries, known for his influential contributions to national romantic and Art Nouveau architecture in Sweden.
-
D.
Hans Göran
Hans Göran is the given first name of Göran Persson, the former Prime Minister of Sweden.
-
E.
Charles Boberg
Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
- 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: Göran Gillinger Triple: [Göran, hasNotableBearer, Göran Gillinger]
Generated description
Göran Gillinger is a Swedish actor known for his work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Göran Gillinger Target entity description: Göran Gillinger is a Swedish actor known for his work in film, television, and theater.
-
A.
Göran Rosenberg
Göran Rosenberg is a Swedish journalist, author, and public intellectual known for his works on politics, history, and the Jewish experience in Sweden.
-
B.
Arvid Genetz
Arvid Genetz was a Finnish linguist, poet, and politician known for his contributions to Finno-Ugric language studies and his role in the Finnish national movement.
-
C.
Ferdinand Boberg
Ferdinand Boberg was a prominent Swedish architect of the late 19th and early 20th centuries, known for his influential contributions to national romantic and Art Nouveau architecture in Sweden.
-
D.
Hans Göran
Hans Göran is the given first name of Göran Persson, the former Prime Minister of Sweden.
-
E.
Charles Boberg
Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b795fc8190aa50ce3c7360ff83 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9881d84588190a9117064a0950ac1 |
completed | April 10, 2026, 11:30 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ce9ba0c8190a7c62fa670e23705 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 6, 2026, 12:06 p.m.