Triple
T8595965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odilon Redon |
E203545
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Odilon |
E203545
|
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: Odilon | Statement: [Odilon Redon, nickname, Odilon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odilon Context triple: [Odilon Redon, nickname, Odilon]
-
A.
Odilon
chosen
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
B.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
C.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
-
D.
Marcelin
Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
-
E.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc7a6e28819090e988343be42a1b |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:23 p.m.