Triple
T7872412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aimable |
E182768
|
entity |
| Predicate | isCognateOf |
P2527
|
FINISHED |
| Object | English given name "Amable" |
E182768
|
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: English given name "Amable" | Statement: [Aimable, isCognateOf, English given name "Amable"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: English given name "Amable" Context triple: [Aimable, isCognateOf, English given name "Amable"]
-
A.
Aimable
chosen
Aimable is the given name of Aimable Pélissier, a 19th-century French military officer and Marshal of France known for his role in the conquest of Algeria.
-
B.
Abel Douay
Abel Douay was a French general of the 19th century, best known for his role and death in the opening battles of the Franco-Prussian War.
-
C.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
-
D.
Rosemarie
Rosemarie is a feminine given name, typically considered a variant of Rosemary, used in various European and English-speaking cultures.
-
E.
Thibault
Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a6d93881908d68386e49bea1e3 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b72cec08190ac8ea1d9676b68ce |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:56 p.m.