Triple
T12277982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Jordan |
E292640
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jim Jordan |
E478355
|
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: Jim Jordan | Statement: [Jim Jordan, name, Jim Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Jordan Context triple: [Jim Jordan, name, Jim Jordan]
-
A.
Jim Jordan
Jim Jordan is a Canadian politician who served as a Member of Parliament representing the Ontario riding of Leeds—Grenville.
-
B.
Jim Jordan
Jim Jordan was an American radio and voice actor best known as half of the comedy duo Fibber McGee and Molly and for his later work in animated films.
-
C.
Jim Jordan
chosen
Jim Jordan is a conservative Republican U.S. Representative from Ohio known for his staunch right-wing positions and prominent role in House leadership and oversight battles.
-
D.
Robert Latta
Robert Latta is an American Republican politician serving as the U.S. Representative for Ohio's 5th congressional district.
-
E.
Jeb Hensarling
Jeb Hensarling is an American Republican politician who represented Texas in the U.S. House of Representatives and served as chairman of the House Financial Services Committee.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63464486c819085452675a43785b1 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.