Triple
T8103641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camille Monet |
E189172
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Jean 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: Jean Monet | Statement: [Camille Monet, hasChild, Jean Monet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Monet Context triple: [Camille Monet, hasChild, Jean 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.
Camille Monet
Camille Monet was the first wife and frequent model of French Impressionist painter Claude Monet, appearing in many of his early works.
-
C.
Theodore Robinson
Theodore Robinson was an American Impressionist painter known for his close association with Claude Monet and his influential depictions of Giverny and rural life.
-
D.
Frédéric Thiébaud
Frédéric Thiébaud is a Swiss businessman best known as the husband of Canadian country-pop singer Shania Twain.
-
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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42bf1cb0819099dda4f050f8e95e |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd677b00548190929a2a38b4d1476f |
completed | April 1, 2026, 6:44 p.m. |
Created at: March 30, 2026, 5:31 p.m.