Triple
T19876836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubois |
E477660
|
entity |
| Predicate | hasAnglicizedForm |
P3437
|
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, hasAnglicizedForm, Dubois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubois Context triple: [Dubois, hasAnglicizedForm, Dubois]
-
A.
Dubois
chosen
Dubois is a common French-origin surname borne by numerous notable individuals across politics, arts, sciences, and sports.
-
B.
DuBourg
DuBourg is a French-origin surname historically associated with notable figures in politics, religion, and public life.
-
C.
Ville Parle
Ville Parle is a prominent suburban neighborhood in Mumbai, India, known for its residential areas, educational institutions, and proximity to the city’s western coastline.
-
D.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
E.
Tureaud
Tureaud is the surname of Mr. T, the American actor and former professional wrestler best known for his role as B.A. Baracus on the television series "The A-Team."
- 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.