Triple
T9498593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiden in der Oberpfalz |
E229075
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Jens Meyer
Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
|
E802089
|
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: Jens Meyer | Statement: [Weiden in der Oberpfalz, hasMayor, Jens Meyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Meyer Context triple: [Weiden in der Oberpfalz, hasMayor, Jens Meyer]
-
A.
Jens Beckert
Jens Beckert is a German sociologist renowned for his work on economic sociology, particularly the role of expectations and uncertainty in markets.
-
B.
Jens Christensen
Jens Christensen is a relatively common Scandinavian personal name shared by multiple individuals across fields such as politics, sports, and academia.
-
C.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
D.
Jens Toldstrup
Jens Toldstrup was a prominent Danish resistance leader during World War II, known for organizing sabotage and intelligence operations against the German occupation.
-
E.
Jens Grede
Jens Grede is a fashion entrepreneur and co-founder of the shapewear and apparel brand SKIMS, known for building high-profile celebrity-backed labels.
- 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: Jens Meyer Triple: [Weiden in der Oberpfalz, hasMayor, Jens Meyer]
Generated description
Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jens Meyer Target entity description: Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
-
A.
Jens Beckert
Jens Beckert is a German sociologist renowned for his work on economic sociology, particularly the role of expectations and uncertainty in markets.
-
B.
Jens Christensen
Jens Christensen is a relatively common Scandinavian personal name shared by multiple individuals across fields such as politics, sports, and academia.
-
C.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
D.
Jens Toldstrup
Jens Toldstrup was a prominent Danish resistance leader during World War II, known for organizing sabotage and intelligence operations against the German occupation.
-
E.
Jens Grede
Jens Grede is a fashion entrepreneur and co-founder of the shapewear and apparel brand SKIMS, known for building high-profile celebrity-backed labels.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ef06b88190b7a840caddea3e38 |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d3aafb88190ac53289039bca88a |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d12dcae2088190bdb4ebac9021e622 |
completed | April 4, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e4077a4819094e86eb0de69b2ed |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:56 p.m.