Triple
T14666118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christoph Sauer |
E344378
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Christoph Sauer |
E344378
|
NE FINISHED |
How this triple was built (2 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: Christoph Sauer | Statement: [Christoph Sauer, name, Christoph Sauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christoph Sauer Context triple: [Christoph Sauer, name, Christoph Sauer]
-
A.
Christoph Sauer
chosen
Christoph Sauer was an 18th-century German-American printer and publisher known for producing one of the earliest German-language Bibles in North America.
-
B.
Stephan Sauer
Stephan Sauer is a notable individual who shares the surname Sauer and is recognized for achievements significant enough to be specifically referenced.
-
C.
Christian Breslauer
Christian Breslauer is a contemporary music video director known for his cinematic, high-concept visuals for major pop and hip-hop artists.
-
D.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
-
E.
Markus Sattler
Markus Sattler is a German software engineer and entrepreneur best known as a co-founder and former CTO of the email marketing platform Mailjet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfcf67348190862c65faa1c815f0 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 1:27 a.m.