Triple
T21533731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Delaroche |
E531296
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Horace Vernet |
—
|
NE NERFINISHED |
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: Horace Vernet | Statement: [Paul Delaroche, relative, Horace Vernet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horace Vernet Context triple: [Paul Delaroche, relative, Horace Vernet]
-
A.
Horace Vernet
chosen
Horace Vernet was a prominent 19th-century French painter renowned for his dynamic battle scenes, Orientalist works, and influential role in the Romantic movement.
-
B.
Paul Delaroche
Paul Delaroche was a 19th-century French painter renowned for his highly detailed and dramatic historical scenes.
-
C.
Grégoire-Hippolyte Delaroche
Grégoire-Hippolyte Delaroche was a French art dealer and collector best known as the father of the 19th-century history painter Paul Delaroche.
-
D.
Antoine-Jean Gros
Antoine-Jean Gros was a French painter known for his dramatic, emotionally charged battle scenes that bridged Neoclassicism and Romanticism in the early 19th century.
-
E.
Claude-Joseph Vernet
Claude-Joseph Vernet was an 18th-century French painter renowned for his dramatic seascapes, harbor scenes, and atmospheric landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0ae0e88190a6042effd93cd455 |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.