Triple
T11383609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anshu Jain |
E269657
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object | Deutsche Bank AG |
E373967
|
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: Deutsche Bank AG | Statement: [Anshu Jain, boardMemberOf, Deutsche Bank AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deutsche Bank AG Context triple: [Anshu Jain, boardMemberOf, Deutsche Bank AG]
-
A.
Deutsche Bank
chosen
Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
-
B.
Commerzbank AG
Commerzbank AG is a major German commercial bank headquartered in Frankfurt, known as one of the country’s leading financial institutions serving corporate, institutional, and retail clients.
-
C.
Dresdner Bank
Dresdner Bank was one of Germany’s major commercial banks, historically influential in the country’s financial and industrial development.
-
D.
Deutsche Rentenbank
Deutsche Rentenbank was the German financial institution established in 1923 to stabilize the currency and restore confidence during the hyperinflation crisis of the Weimar Republic.
-
E.
ABN AMRO
ABN AMRO is a major Dutch bank headquartered in Amsterdam, known for providing a wide range of retail, private, and corporate banking services internationally.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc34f1f0819082dd977313ee6070 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8025744819091312adddeb75347 |
completed | April 20, 2026, 5:22 a.m. |
Created at: April 8, 2026, 9:34 p.m.