Triple
T21633432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eudoxie Mbouguiengue |
E533891
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Christopher Brian Bridges |
—
|
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: Christopher Brian Bridges | Statement: [Eudoxie Mbouguiengue, spouse, Christopher Brian Bridges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Brian Bridges Context triple: [Eudoxie Mbouguiengue, spouse, Christopher Brian Bridges]
-
A.
Christopher Brian Bridges
chosen
Christopher Brian Bridges is an American rapper, actor, and entrepreneur best known by his stage name Ludacris.
-
B.
Andrew Toney
Andrew Toney is a former NBA All-Star guard best known for his explosive scoring and clutch playoff performances with the Philadelphia 76ers in the early 1980s.
-
C.
David Gregory Marshall
David Gregory Marshall is an entrepreneur best known as the founder of the Marshall Group.
-
D.
Christopher Bridges
Christopher Bridges, better known by his stage name Ludacris, is an American rapper, actor, and entrepreneur recognized as one of the prominent figures of early-2000s Southern hip hop.
-
E.
Andrew Clark
Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52185dbc819096ad2fc5b7d953f8 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.