Triple
T18829951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo Bonner |
E460497
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jo Bonner |
—
|
NE NERFINISHED |
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: Jo Bonner | Statement: [Jo Bonner, name, Jo Bonner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Bonner Context triple: [Jo Bonner, name, Jo Bonner]
-
A.
Jo Bonner
chosen
Jo Bonner is an American politician and former U.S. Representative from Alabama who later transitioned into academic leadership and became president of the University of South Alabama.
-
B.
Bill Crawford
Bill Crawford is a former United States Air Force enlisted airman and janitor who was belatedly recognized with the Medal of Honor for his heroic actions during World War II.
-
C.
Thad Cochran
Thad Cochran was a long-serving Republican U.S. Senator from Mississippi known for his influence on federal appropriations and agricultural policy.
-
D.
Sam Nunn
Sam Nunn is a former United States Senator from Georgia known for his influential work on national security, defense policy, and nuclear nonproliferation.
-
E.
Allen J. Ellender
Allen J. Ellender was a long-serving Democratic U.S. Senator from Louisiana known for his influential roles in congressional leadership and appropriations during the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9981be88190b709c0e72ad3f7e6 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.