Triple
T14891944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth |
E359772
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Andreas Roth
Andreas Roth is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Roth.
|
E1158437
|
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: Andreas Roth | Statement: [Roth, notableBearer, Andreas Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Roth Context triple: [Roth, notableBearer, Andreas Roth]
-
A.
Andreas Scholz
Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
-
B.
Andreas Stegemann
Andreas Stegemann is a German local politician who serves as the mayor of the city of Recklinghausen in North Rhine-Westphalia.
-
C.
Markus Häußler
Markus Häußler is a German local politician who serves as the mayor of the municipality of Illerkirchberg in Baden-Württemberg.
-
D.
Markus Häußler
Markus Häußler is a German local politician who serves as the mayor of the town of Munderkingen in Baden-Württemberg.
-
E.
Andreas Schmidt
Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
- 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: Andreas Roth Triple: [Roth, notableBearer, Andreas Roth]
Generated description
Andreas Roth is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Roth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andreas Roth Target entity description: Andreas Roth is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Roth.
-
A.
Andreas Scholz
Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
-
B.
Andreas Stegemann
Andreas Stegemann is a German local politician who serves as the mayor of the city of Recklinghausen in North Rhine-Westphalia.
-
C.
Markus Häußler
Markus Häußler is a German local politician who serves as the mayor of the town of Munderkingen in Baden-Württemberg.
-
D.
Markus Häußler
Markus Häußler is a German local politician who serves as the mayor of the municipality of Illerkirchberg in Baden-Württemberg.
-
E.
Andreas Schmidt
Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce5d0708190bbfff5d68c5e7a3c |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2d991c94819094e00a634d5b0948 |
completed | May 9, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2e5077cc819096208137ef5c99bb |
completed | May 9, 2026, 12:53 p.m. |
Created at: April 10, 2026, 2:10 a.m.