Triple
T17429120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Albrecht Bengel |
E423821
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Albrecht |
—
|
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: Albrecht | Statement: [Johann Albrecht Bengel, givenName, Albrecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albrecht Context triple: [Johann Albrecht Bengel, givenName, Albrecht]
-
A.
Albrecht
chosen
Albrecht is a Germanic given name, historically borne by various nobles, artists, and scholars in German-speaking Europe.
-
B.
Albrecht Joseph
Albrecht Joseph was a German-born screenwriter and film editor who worked in both European and American cinema, particularly in Hollywood after emigrating from Nazi Germany.
-
C.
Albrecht von Säbisch
Albrecht von Säbisch was a 17th-century Silesian architect best known for designing the Protestant Church of Peace in Jawor, now a UNESCO World Heritage Site in Poland.
-
D.
Albrecht der Bär
Albrecht der Bär was a 12th-century German margrave and the first ruler of the Margraviate of Brandenburg, known for expanding German influence eastward into Slavic territories.
-
E.
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."
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fe9e28819092a80f5686eb362f |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.