Triple
T10886982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neo Rauch |
E257073
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rauch |
E599651
|
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: Rauch | Statement: [Neo Rauch, familyName, Rauch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rauch Context triple: [Neo 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.
Rotherbaum
Rotherbaum is a central, upscale district of Hamburg, Germany, known for its elegant residential areas, cultural institutions, and proximity to the Alster lakes.
-
C.
Seitzenhahn
Seitzenhahn is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany.
-
D.
Raush
Raush is a surname most notably borne by Irma Raush, a Soviet and French actress and film director.
-
E.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751dea1a88190b916879be8d74413 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7edfee48190802e992f4a299db0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.