Triple
T19736650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberholzer |
E474001
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Urs Oberholzer
Urs Oberholzer is a Swiss jurist who served as a judge on the Federal Supreme Court of Switzerland.
|
E1392318
|
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: Urs Oberholzer | Statement: [Oberholzer, hasNotableBearer, Urs Oberholzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urs Oberholzer Context triple: [Oberholzer, hasNotableBearer, Urs Oberholzer]
-
A.
Urs Bühler
Urs Bühler is a Swiss tenor best known as a member of the multinational classical crossover vocal group Il Divo.
-
B.
Ernst Torgler
Ernst Torgler was a German Communist politician who became widely known as a principal defendant in the 1933 Reichstag fire trial under the Nazi regime.
-
C.
Reto Schaerli
Reto Schaerli is a Swiss film producer known for his work on the 2015 adaptation of "Heidi."
-
D.
Jürg Gutknecht
Jürg Gutknecht is a Swiss computer scientist known for his close collaboration with Niklaus Wirth and his key role in the design and implementation of the Oberon programming language and operating system.
-
E.
Johann Schneider-Ammann
Johann Schneider-Ammann is a Swiss politician and businessman who served as a member of the Federal Council and head of the Federal Department of Economic Affairs, Education and Research.
- 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: Urs Oberholzer Triple: [Oberholzer, hasNotableBearer, Urs Oberholzer]
Generated description
Urs Oberholzer is a Swiss jurist who served as a judge on the Federal Supreme Court of Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urs Oberholzer Target entity description: Urs Oberholzer is a Swiss jurist who served as a judge on the Federal Supreme Court of Switzerland.
-
A.
Urs Bühler
Urs Bühler is a Swiss tenor best known as a member of the multinational classical crossover vocal group Il Divo.
-
B.
Ernst Torgler
Ernst Torgler was a German Communist politician who became widely known as a principal defendant in the 1933 Reichstag fire trial under the Nazi regime.
-
C.
Reto Schaerli
Reto Schaerli is a Swiss film producer known for his work on the 2015 adaptation of "Heidi."
-
D.
Jürg Gutknecht
Jürg Gutknecht is a Swiss computer scientist known for his close collaboration with Niklaus Wirth and his key role in the design and implementation of the Oberon programming language and operating system.
-
E.
Johann Schneider-Ammann
Johann Schneider-Ammann is a Swiss politician and businessman who served as a member of the Federal Council and head of the Federal Department of Economic Affairs, Education and Research.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ddea881909ea831b7bc16d934 |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f944108190b63432ef6d0eb984 |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b5c7a0348190b06f5300c89f0548 |
completed | May 16, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b655722c8190be1b30d1e276c580 |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:47 p.m.