Triple
T19876833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubois |
E477660
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | DuBois |
—
|
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: DuBois | Statement: [Dubois, hasVariant, DuBois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DuBois Context triple: [Dubois, hasVariant, DuBois]
-
A.
DuBois
DuBois is a small city in western Pennsylvania known historically for its coal and lumber industries and its role as a regional commercial center.
-
B.
Ibram
Ibram is the given name of Ibram X. Kendi, a prominent American historian and leading scholar of antiracism.
-
C.
Dubois
chosen
Dubois is a common French-origin surname borne by numerous notable individuals across politics, arts, sciences, and sports.
-
D.
Blackmon
Blackmon is a surname most prominently associated with Larry Blackmon, the lead singer and founder of the funk band Cameo.
-
E.
Horace Cayton
Horace Cayton was an influential African American sociologist, journalist, and author whose work documented Black urban life and helped shape the intellectual landscape of the Chicago Black Renaissance.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.