Triple
T9814790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingelheim am Rhein |
E238373
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Ralf Claus
Ralf Claus is a German local politician who serves as the mayor of the town of Ingelheim am Rhein.
|
E823574
|
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: Ralf Claus | Statement: [Ingelheim am Rhein, mayor, Ralf Claus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralf Claus Context triple: [Ingelheim am Rhein, mayor, Ralf Claus]
-
A.
Ralf Hart
Ralf Hart is a Swiss painter and spiritual seeker who becomes the central romantic and transformative figure in Paulo Coelho’s novel "Eleven Minutes."
-
B.
Ralf Kellermann
Ralf Kellermann is a German football manager best known for his successful tenure with VfL Wolfsburg’s women’s team, leading them to multiple domestic and European titles.
-
C.
Ralf Dörper
Ralf Dörper is a German musician and songwriter best known as a founding member of the synth-pop band Propaganda and for his influential role in the 1980s electronic music scene.
-
D.
Ralf Reinhardt
Ralf Reinhardt is a German local politician who serves as the mayor of the town of Neuruppin in Brandenburg.
-
E.
Ralf Burger
Ralf Burger is a German computer enthusiast and author known for his influential writings on computer viruses and low-level programming in the late 1980s and early 1990s.
- 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: Ralf Claus Triple: [Ingelheim am Rhein, mayor, Ralf Claus]
Generated description
Ralf Claus is a German local politician who serves as the mayor of the town of Ingelheim am Rhein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ralf Claus Target entity description: Ralf Claus is a German local politician who serves as the mayor of the town of Ingelheim am Rhein.
-
A.
Ralf Hart
Ralf Hart is a Swiss painter and spiritual seeker who becomes the central romantic and transformative figure in Paulo Coelho’s novel "Eleven Minutes."
-
B.
Ralf Kellermann
Ralf Kellermann is a German football manager best known for his successful tenure with VfL Wolfsburg’s women’s team, leading them to multiple domestic and European titles.
-
C.
Ralf Dörper
Ralf Dörper is a German musician and songwriter best known as a founding member of the synth-pop band Propaganda and for his influential role in the 1980s electronic music scene.
-
D.
Ralf Reinhardt
Ralf Reinhardt is a German local politician who serves as the mayor of the town of Neuruppin in Brandenburg.
-
E.
Ralf Burger
Ralf Burger is a German computer enthusiast and author known for his influential writings on computer viruses and low-level programming in the late 1980s and early 1990s.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc67db68819093217c9a74e72fbf |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1ccf59c68819082b4aa37e06d2aaf |
completed | April 5, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d0d945d48190b56b7fd2ce568a13 |
completed | April 5, 2026, 3:02 a.m. |
Created at: March 30, 2026, 8:30 p.m.