Triple
T16409706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albrecht Schuch |
E398527
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bad Banks
Bad Banks is a German television drama series that explores the high-stakes, morally ambiguous world of international finance and banking.
|
E1211907
|
NE FINISHED |
How this triple was built (4 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: Bad Banks | Statement: [Albrecht Schuch, notableWork, Bad Banks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Banks Context triple: [Albrecht Schuch, notableWork, Bad Banks]
-
A.
The Bank of Fear
The Bank of Fear is a political thriller novel by David Ignatius that delves into international finance, espionage, and Middle Eastern geopolitics.
-
B.
Bank On It
"Bank On It" is a track by Nigerian artist Burna Boy featured on his Grammy-winning album "Twice as Tall."
-
C.
The Bank
The Bank is a popular nickname for Citizens Bank Park, the home stadium of Major League Baseball’s Philadelphia Phillies.
-
D.
The Bank
"The Bank" is a popular nickname for Bank of America Stadium, the home venue of the NFL's Carolina Panthers in Charlotte, North Carolina.
-
E.
The Bank
"The Bank" is the nickname for TCF Bank Stadium, the outdoor football stadium at the University of Minnesota in Minneapolis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Banks Triple: [Albrecht Schuch, notableWork, Bad Banks]
Generated description
Bad Banks is a German television drama series that explores the high-stakes, morally ambiguous world of international finance and banking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Banks Target entity description: Bad Banks is a German television drama series that explores the high-stakes, morally ambiguous world of international finance and banking.
-
A.
The Bank of Fear
The Bank of Fear is a political thriller novel by David Ignatius that delves into international finance, espionage, and Middle Eastern geopolitics.
-
B.
Bank On It
"Bank On It" is a track by Nigerian artist Burna Boy featured on his Grammy-winning album "Twice as Tall."
-
C.
The Bank
The Bank is a popular nickname for Citizens Bank Park, the home stadium of Major League Baseball’s Philadelphia Phillies.
-
D.
The Bank
The Bank is a popular nickname for M&T Bank Stadium, the home field of the NFL’s Baltimore Ravens.
-
E.
The Bank
"The Bank" is a popular nickname for Bank of America Stadium, the home venue of the NFL's Carolina Panthers in Charlotte, North Carolina.
- F. None of above. chosen
Provenance (5 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32871bce08190addd637413473c87 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c66d41481909340f247f6e5393f |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003f2971bc819099f9b6800885bb5f |
completed | May 10, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003ff96b3081909bcef37c77c0c5b1 |
completed | May 10, 2026, 8:21 a.m. |
Created at: April 10, 2026, 5:09 a.m.