Triple
T12501172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Frist |
E298825
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Frist |
E298825
|
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: Bill Frist | Statement: [Bill Frist, name, Bill Frist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Frist Context triple: [Bill Frist, name, Bill Frist]
-
A.
Bill Frist
chosen
Bill Frist is an American physician and Republican politician who served as U.S. Senate Majority Leader in the early 2000s.
-
B.
Tom Price
Tom Price is an American physician and Republican politician who served as the U.S. Secretary of Health and Human Services under President Donald Trump.
-
C.
Tom Price
Tom Price is a remote mining town in Western Australia’s Pilbara region, known primarily for its large iron ore operations and surrounding rugged outback landscapes.
-
D.
Jim Gibbons
Jim Gibbons was an American sportscaster best known as the longtime radio voice of the Green Bay Packers.
-
E.
Lamar Alexander
Lamar Alexander is an American politician and educator who served as governor of Tennessee, U.S. Secretary of Education, and a long-time U.S. senator.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb38e048190bbc96244b71953b6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.