Triple
T3229486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Paterson |
E67703
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Paterson |
E67703
|
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: David Paterson | Statement: [David Paterson, name, David Paterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Paterson Context triple: [David Paterson, name, David Paterson]
-
A.
David Paterson
chosen
David Paterson is an American politician who served as the 55th governor of New York and was the state's first Black and first legally blind governor.
-
B.
Andrew Cuomo
Andrew Cuomo is an American politician and member of the Democratic Party who served as the 56th governor of New York from 2011 to 2021.
-
C.
George Pataki
George Pataki is an American Republican politician who served three terms as governor of New York from 1995 to 2006.
-
D.
William L. Dayton
William L. Dayton was a 19th-century American politician and diplomat who served as a U.S. senator from New Jersey and later as U.S. minister to France during the Civil War.
-
E.
Mario Cuomo
Mario Cuomo was a prominent American Democratic politician who served three terms as governor of New York and became known for his eloquent speeches and progressive views.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb826588190a93bcfb1242310e7 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354545cd88190a4a09a247867fd34 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:08 p.m.