Triple
T5795509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Large Bathers |
E128498
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Ingres |
E20753
|
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: Ingres | Statement: [The Large Bathers, influencedBy, Ingres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingres Context triple: [The Large Bathers, influencedBy, Ingres]
-
A.
Jean-Auguste-Dominique Ingres
chosen
Jean-Auguste-Dominique Ingres was a 19th-century French Neoclassical painter renowned for his precise draftsmanship, idealized forms, and iconic portraits and odalisque paintings.
-
B.
Pierre Cabanel de Sermet
Pierre Cabanel de Sermet was a French architect best known for designing Paris’s Gare de l’Est railway station.
-
C.
Victor Brecheret
Victor Brecheret was a prominent Brazilian modernist sculptor known for his monumental public works and his role in shaping 20th-century Brazilian art.
-
D.
Auguste De Gas
Auguste De Gas was a French banker and art collector best known as the father of the Impressionist painter Edgar Degas.
-
E.
Eduard "Del" Delacroix
Eduard "Del" Delacroix is a condemned Cajun inmate on death row in Stephen King’s "The Green Mile," known for his gentle bond with a trained mouse and his harrowingly botched execution.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a9304b081909ea004902f4ca569 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0982ce0ac8190b9f12cedb66c5eb3 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.