Triple
T19518617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig R. Baxley |
E488343
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Craig R. Baxley |
E488343
|
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: Craig R. Baxley | Statement: [Craig R. Baxley, name, Craig R. Baxley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig R. Baxley Context triple: [Craig R. Baxley, name, Craig R. Baxley]
-
A.
Craig R. Baxley
chosen
Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
-
B.
Michael D. Lumpkin
Michael D. Lumpkin is a former U.S. Navy SEAL officer who served as Assistant Secretary of Defense for Special Operations and Low-Intensity Conflict.
-
C.
Jeffrey B. Skiles
Jeffrey B. Skiles is an American airline pilot best known as the first officer who helped successfully ditch US Airways Flight 1549 on the Hudson River in 2009.
-
D.
Gregory D. Gadson
Gregory D. Gadson is a retired U.S. Army colonel and double amputee who became known to film audiences for his acting role in the science fiction war film "Battleship."
-
E.
Mark D. Bailey
Mark D. Bailey is an American diplomat who has served as the United States Ambassador to Hungary.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359edd508190afd68739de676ed7 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787a9e2048190b897972ba37189be |
completed | May 15, 2026, 8:52 p.m. |
Created at: April 10, 2026, 1:40 p.m.