Triple
T9750491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gail Devers |
E236427
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Devers |
E234429
|
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: Devers | Statement: [Gail Devers, familyName, Devers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devers Context triple: [Gail Devers, familyName, Devers]
-
A.
Devers
chosen
Devers is a surname most notably associated with U.S. Army General Jacob L. Devers, a senior commander in the European Theater during World War II.
-
B.
Fredendall
Fredendall is the surname of Lloyd Fredendall, a U.S. Army lieutenant general noted for his controversial leadership during World War II, particularly in the North African campaign.
-
C.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
-
D.
Bayard
Bayard is a small rural city in western Nebraska known for its agricultural community and proximity to landmarks like Chimney Rock.
-
E.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f6bb4088190ab8d52ef61d24bee |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b020829481908456e7977c5f9adb |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.