Triple
T21826713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Daniel Rauch |
E538873
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rauch |
—
|
NE NERFINISHED |
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: Rauch | Statement: [Christian Daniel Rauch, familyName, Rauch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rauch Context triple: [Christian Daniel Rauch, familyName, Rauch]
-
A.
Rauch
chosen
Rauch is a German-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
B.
Räuchermann
The Räuchermann is a traditional wooden incense smoker figurine from Germany’s Ore Mountains, typically depicting everyday characters and used as a decorative item during the Christmas season.
-
C.
Rotherbaum
Rotherbaum is a central, upscale district of Hamburg, Germany, known for its elegant residential areas, cultural institutions, and proximity to the Alster lakes.
-
D.
Rauer
Rauer is an island in the Onsøy area of southeastern Norway, known for its coastal landscapes and recreational outdoor activities.
-
E.
Fumero
Fumero is a Spanish-origin surname most notably associated with American actress Melissa Fumero.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f09132ae888190b8c1a8e75b96b5fd |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.