Triple
T2779173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamie Dimon |
E61650
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jamie Dimon |
E61650
|
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: Jamie Dimon | Statement: [Jamie Dimon, name, Jamie Dimon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Dimon Context triple: [Jamie Dimon, name, Jamie Dimon]
-
A.
Jamie Dimon
chosen
Jamie Dimon is an American business executive best known as the long-serving chairman and CEO of JPMorgan Chase, one of the world’s largest financial institutions.
-
B.
Howard Lutnick
Howard Lutnick is an American businessman best known as the longtime chairman and CEO who rebuilt the financial services firm Cantor Fitzgerald after the September 11 attacks.
-
C.
Sanford I. Weill
Sanford I. Weill is an American banker and philanthropist best known for building Citigroup into a financial giant and for his major philanthropic contributions to education and medicine.
-
D.
Dave Corzine
Dave Corzine is a former American professional basketball center best known for his NBA career, particularly with the Chicago Bulls in the 1980s.
-
E.
Robert Kravis
Robert Kravis is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd97e9988190a9065a70b878a675 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05cf84881908e771471dbda4c8d |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.