Triple
T9751500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groth |
E236451
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Christian Groth
Christian Groth is a Danish economist known for his contributions to macroeconomic theory, particularly in the areas of growth and development economics.
|
E819197
|
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: Christian Groth | Statement: [Groth, hasNotableBearer, Christian Groth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Groth Context triple: [Groth, hasNotableBearer, Christian Groth]
-
A.
Klaus Groth
Klaus Groth was a 19th-century German poet and linguist best known for his influential poetry written in Low German (Plattdeutsch).
-
B.
Lars Markgren
Lars Markgren is a co-founder of King Digital Entertainment, the company best known for creating the popular mobile game Candy Crush Saga.
-
C.
Soeren Gade
Soeren Gade is a Danish politician and former high-ranking public figure who has also served as editor-in-chief of the Danish newspaper Jyllands-Posten.
-
D.
Luke Saville Groth
Luke Saville Groth is an individual notable enough to be recognized as a prominent bearer of the surname Groth.
-
E.
Sylvester Groth
Sylvester Groth is a German actor known for his work in film, television, and theater, including roles in historical dramas and international productions.
- 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: Christian Groth Triple: [Groth, hasNotableBearer, Christian Groth]
Generated description
Christian Groth is a Danish economist known for his contributions to macroeconomic theory, particularly in the areas of growth and development economics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Groth Target entity description: Christian Groth is a Danish economist known for his contributions to macroeconomic theory, particularly in the areas of growth and development economics.
-
A.
Klaus Groth
Klaus Groth was a 19th-century German poet and linguist best known for his influential poetry written in Low German (Plattdeutsch).
-
B.
Lars Markgren
Lars Markgren is a co-founder of King Digital Entertainment, the company best known for creating the popular mobile game Candy Crush Saga.
-
C.
Soeren Gade
Soeren Gade is a Danish politician and former high-ranking public figure who has also served as editor-in-chief of the Danish newspaper Jyllands-Posten.
-
D.
Luke Saville Groth
Luke Saville Groth is an individual notable enough to be recognized as a prominent bearer of the surname Groth.
-
E.
Sylvester Groth
Sylvester Groth is a German actor known for his work in film, television, and theater, including roles in historical dramas and international productions.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd60e1c81908ea2e38ca91e58f6 |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1bdbddb7c81909b941d935e925ce5 |
completed | April 5, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1be0ccc6081908bf3ef8db3c8b591 |
completed | April 5, 2026, 1:42 a.m. |
Created at: March 30, 2026, 8:24 p.m.