Triple
T13161649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Parish |
E312740
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Thomas Jefferson |
E1804
|
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: Thomas Jefferson | Statement: [Jefferson Parish, namedAfter, Thomas Jefferson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Jefferson Context triple: [Jefferson Parish, namedAfter, Thomas Jefferson]
-
A.
Thomas Jefferson
chosen
Thomas Jefferson was the third president of the United States, principal author of the Declaration of Independence, and a leading figure of early American political and intellectual life.
-
B.
M. Jefferson
M. Jefferson is an author known for contributing written works to the publication "Wetter."
-
C.
Jefferson
Jefferson is the fictional Mississippi town that serves as the central setting in many of William Faulkner’s Yoknapatawpha County stories and novels.
-
D.
Jefferson
Jefferson is a city in Iowa, United States, known as the birthplace of pioneering American pollster George Gallup.
-
E.
Jefferson
Jefferson is the given name of Jefferson C. Davis, a controversial American military officer who served as a Union general during the Civil War.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead058ac819091b13ddd25067869 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:12 p.m.