Triple
T9751514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groth |
E236451
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Steffen Groth
Steffen Groth is a German actor and director known for his roles in television series and films.
|
E818074
|
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: Steffen Groth | Statement: [Groth, hasNotableBearer, Steffen Groth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steffen Groth Context triple: [Groth, hasNotableBearer, Steffen Groth]
-
A.
Dirk Nannes
Dirk Nannes is a former Dutch-Australian fast bowler known for his successful Twenty20 career and for representing both the Netherlands and Australia in international cricket.
-
B.
Carsten Dominik
Carsten Dominik is a software developer and astronomer best known as the original creator of Org-mode for Emacs.
-
C.
Hannes Messemer
Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
-
D.
Jens Meyer
Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
-
E.
Stefan Schmidt
Stefan Schmidt is a German politician known for his work with the Alliance 90/The Greens party, particularly on environmental and transport policy.
- 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: Steffen Groth Triple: [Groth, hasNotableBearer, Steffen Groth]
Generated description
Steffen Groth is a German actor and director known for his roles in television series and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steffen Groth Target entity description: Steffen Groth is a German actor and director known for his roles in television series and films.
-
A.
Dirk Nannes
Dirk Nannes is a former Dutch-Australian fast bowler known for his successful Twenty20 career and for representing both the Netherlands and Australia in international cricket.
-
B.
Carsten Dominik
Carsten Dominik is a software developer and astronomer best known as the original creator of Org-mode for Emacs.
-
C.
Hannes Messemer
Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
-
D.
Jens Meyer
Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
-
E.
Stefan Schmidt
Stefan Schmidt is a German politician known for his work with the Alliance 90/The Greens party, particularly on environmental and transport policy.
- 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_69d1b020829481908456e7977c5f9adb |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b0dde93881908fcec28de9cfa99d |
completed | April 5, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1bbe6108190af17b75f79c0f465 |
completed | April 5, 2026, 12:50 a.m. |
Created at: March 30, 2026, 8:24 p.m.