Triple
T6887205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Pickett |
E158951
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pickett |
E579407
|
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: Pickett | Statement: [George Pickett, familyName, Pickett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pickett Context triple: [George Pickett, familyName, Pickett]
-
A.
Pickett
chosen
Pickett is a surname most famously associated with American soul and R&B singer Wilson Pickett, known for hits like "In the Midnight Hour" and "Mustang Sally."
-
B.
George Pickett
George Pickett was a Confederate major general in the American Civil War, best known for leading the ill-fated infantry assault known as Pickett's Charge at the Battle of Gettysburg.
-
C.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
-
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 small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742e249508190ac95be97c0409d4a |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.