Triple
T6256097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aimé Millet |
E140168
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Aimé Millet |
E140168
|
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: Aimé Millet | Statement: [Aimé Millet, name, Aimé Millet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aimé Millet Context triple: [Aimé Millet, name, Aimé Millet]
-
A.
Aimé Millet
chosen
Aimé Millet was a 19th-century French sculptor known for his monumental public works and contributions to Parisian architectural decoration.
-
B.
Jean-François Millet
Jean-François Millet was a 19th-century French painter and key figure of the Barbizon school, renowned for his realistic and compassionate depictions of peasant life.
-
C.
Jean Degoutte
Jean Degoutte was a French Army general of World War I, noted for his leadership of French forces alongside the U.S. Marines in major Western Front engagements.
-
D.
Jules Guérin
Jules Guérin was an American muralist and illustrator known for his architectural murals and color-rich decorative work on major public buildings in the early 20th century.
-
E.
Henri Le Sidaner
Henri Le Sidaner was a French post-impressionist painter known for his intimate, atmospheric scenes of quiet towns, gardens, and twilight interiors rendered in soft, luminous tones.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063653910819095f1dc3b90ce77db |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640a59c70819093a67d1a16fcef8b |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:24 p.m.