Triple
T18213277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Caroline Bouvier |
E436086
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bouvier |
—
|
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: Bouvier | Statement: [Michelle Caroline Bouvier, familyName, Bouvier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bouvier Context triple: [Michelle Caroline Bouvier, familyName, Bouvier]
-
A.
Bouvier
chosen
Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
-
B.
Bouvier des Flandres
The Bouvier des Flandres is a powerful, rugged herding and working dog breed from Belgium, known for its dense, tousled coat, strong build, and calm, loyal temperament.
-
C.
Briard
The Briard is a large, rugged French herding dog breed known for its long, wavy coat, strong work ethic, and loyal, protective nature.
-
D.
Dogue de Bordeaux
The Dogue de Bordeaux is a powerful, large French mastiff-type dog breed known for its massive head, muscular build, and loyal, protective nature.
-
E.
Rouvier
Rouvier is a French surname most notably associated with Maurice Rouvier, a prominent statesman who served as Prime Minister of France in the early 20th century.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e22a26308190a6720b41a9bbfc2d |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.