Triple
T11624918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Monet |
E276239
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michel Monet |
E276239
|
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: Michel Monet | Statement: [Michel Monet, name, Michel Monet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Monet Context triple: [Michel Monet, name, Michel Monet]
-
A.
Michel Monet
chosen
Michel Monet was a French painter and the younger son of Impressionist master Claude Monet, known for preserving and promoting his father's artistic legacy.
-
B.
Jean Monet
Jean Monet was the son of French Impressionist painter Claude Monet and a frequent subject in his father's early paintings.
-
C.
Claude Monet
Claude Monet was a pioneering French Impressionist painter renowned for his luminous landscapes and series capturing changing light and atmosphere, such as his water lilies and haystacks.
-
D.
Camille Monet
Camille Monet was the first wife and frequent model of French Impressionist painter Claude Monet, appearing in many of his early works.
-
E.
Hortense Cézanne
Hortense Cézanne was the wife and frequent model of French Post-Impressionist painter Paul Cézanne, appearing in many of his notable portraits.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87745b388190a78958fa0c08b89b |
completed | April 26, 2026, 9:45 p.m. |
Created at: April 8, 2026, 9:39 p.m.