Triple
T11408235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert |
E270293
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Albrecht |
E73267
|
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: Albrecht | Statement: [Albert, hasVariant, Albrecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albrecht Context triple: [Albert, hasVariant, Albrecht]
-
A.
Albrecht
chosen
Albrecht is a Germanic given name, historically borne by various nobles, artists, and scholars in German-speaking Europe.
-
B.
Albrecht Schuch
Albrecht Schuch is a German actor known for his acclaimed performances in film and television, including a prominent role in the 2022 adaptation of "All Quiet on the Western Front."
-
C.
Johann Zumtaugwald
Johann Zumtaugwald was a 19th-century Swiss mountain guide and pioneering alpinist known for making first ascents in the Alps.
-
D.
Ulrich of Augsburg
Ulrich of Augsburg was a 10th-century Bishop of Augsburg renowned for his church reforms, defense of the city against the Magyars, and for being the first saint formally canonized by a pope.
-
E.
Karl Albrecht
Karl Albrecht was a German businessman best known as the co-founder of the global discount supermarket chain Aldi.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b834cee48190ac09c1e1df4c12d0 |
completed | April 20, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:34 p.m.