Triple
T5654804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wells Fargo |
E124590
|
entity |
| Predicate | chairperson |
P377
|
FINISHED |
| Object |
Steven D. Black
Steven D. Black is an American banking executive and former co-CEO of JPMorgan’s investment bank who serves as the chair of Wells Fargo & Company.
|
E665313
|
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: Steven D. Black | Statement: [Wells Fargo, chairperson, Steven D. Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven D. Black Context triple: [Wells Fargo, chairperson, Steven D. Black]
-
A.
Paul M. Black
Paul M. Black is an American healthcare technology executive best known for serving as CEO of the electronic health records company Allscripts.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Bruce A. Blakeman
Bruce A. Blakeman is an American politician and attorney who serves as the County Executive of Nassau County, New York.
-
D.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
E.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
- 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: Steven D. Black Triple: [Wells Fargo, chairperson, Steven D. Black]
Generated description
Steven D. Black is an American banking executive and former co-CEO of JPMorgan’s investment bank who serves as the chair of Wells Fargo & Company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven D. Black Target entity description: Steven D. Black is an American banking executive and former co-CEO of JPMorgan’s investment bank who serves as the chair of Wells Fargo & Company.
-
A.
Paul M. Black
Paul M. Black is an American healthcare technology executive best known for serving as CEO of the electronic health records company Allscripts.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Bruce A. Blakeman
Bruce A. Blakeman is an American politician and attorney who serves as the County Executive of Nassau County, New York.
-
D.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
E.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f998688190b18eb6469e8c054f |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827415f248190aa80f425c8ac3a99 |
completed | March 28, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69c828c8b0588190a5a99380dc25d837 |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8296962b48190b9f5cc4a66b93b91 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 22, 2026, 3:42 p.m.