Triple
T9064844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Gleyre |
E217219
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Charles Gleyre |
E217219
|
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: Charles Gleyre | Statement: [Charles Gleyre, name, Charles Gleyre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Gleyre Context triple: [Charles Gleyre, name, Charles Gleyre]
-
A.
Charles Gleyre
chosen
Charles Gleyre was a 19th-century Swiss academic painter and influential Parisian art teacher whose studio trained several future Impressionists.
-
B.
Eugène Isabey
Eugène Isabey was a 19th-century French Romantic painter and lithographer known for his dramatic marine scenes, coastal landscapes, and historical genre paintings.
-
C.
William-Adolphe Bouguereau
William-Adolphe Bouguereau was a 19th-century French academic painter renowned for his highly polished, realistic depictions of mythological, religious, and genre scenes.
-
D.
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.
-
E.
Pierre Cabanel de Sermet
Pierre Cabanel de Sermet was a French architect best known for designing Paris’s Gare de l’Est railway station.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bb26588190b7d6f2d70819e86f |
completed | April 1, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fe00980819082571eccb608d605 |
completed | April 3, 2026, 9:23 p.m. |
Created at: March 30, 2026, 7:11 p.m.