Triple
T10258229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Russell |
E240528
|
entity |
| Predicate | appointedBy |
P257
|
FINISHED |
| Object | James Madison |
E9994
|
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: James Madison | Statement: [Jonathan Russell, appointedBy, James Madison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Madison Context triple: [Jonathan Russell, appointedBy, James Madison]
-
A.
James Madison
chosen
James Madison was the fourth president of the United States and a key architect of the U.S. Constitution and Bill of Rights.
-
B.
James Monroe
James Monroe was the fifth president of the United States, best known for the Monroe Doctrine and for overseeing an era of national expansion and relative political unity in the early 19th century.
-
C.
David Madison
David Madison is the given first name of Madison Cawthorn, an American politician and former U.S. Representative from North Carolina.
-
D.
Jefferson
Jefferson is a domestic cat known by the given name "Jefferson."
-
E.
Jefferson
Jefferson is the family name of Stan Laurel, the famed English comic actor and one half of the legendary film duo Laurel and Hardy.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24de4588190b68fb3daa36dbd7d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb371a408190924ccb5c51c209b7 |
completed | April 9, 2026, 7:17 p.m. |
Created at: April 6, 2026, 11:31 a.m.