Triple
T20864646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Simenon |
E513720
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Simenon |
—
|
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: Simenon | Statement: [Georges Simenon, familyName, Simenon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simenon Context triple: [Georges Simenon, familyName, Simenon]
-
A.
Georges Simenon
chosen
Georges Simenon was a prolific Belgian writer best known for creating the fictional detective Jules Maigret and for his numerous psychological novels.
-
B.
Mauriac
Mauriac is a small historic town in south-central France known for its Romanesque basilica and location in the rural Cantal department of the Auvergne region.
-
C.
Maxime Maufra
Maxime Maufra was a French landscape and marine painter associated with the Pont-Aven School and known for his post-Impressionist style and vivid use of color.
-
D.
Francis Carco
Francis Carco was a French novelist, poet, and journalist associated with bohemian Paris and known for his gritty, atmospheric depictions of urban life and the criminal underworld.
-
E.
Sébastien Japrisot
Sébastien Japrisot was a French novelist, screenwriter, and director known for his intricate crime and war stories, several of which were adapted into acclaimed films.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45e51f08190ac1ff59280ad741b |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.