Triple
T14666120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christoph Sauer |
E344378
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sauer |
E58726
|
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: Sauer | Statement: [Christoph Sauer, familyName, Sauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sauer Context triple: [Christoph Sauer, familyName, Sauer]
-
A.
Sauer
chosen
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
B.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
C.
Sautter
Sautter is a surname, likely a spelling variant of "Sutter," borne by various individuals and families of European origin.
-
D.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
E.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
- 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_69fdd5e63e6c8190ba67776719f2ff0c |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.