Triple
T17355394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Desenfans |
E421920
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Noel Desenfans |
—
|
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: Noel Desenfans | Statement: [Noel Desenfans, name, Noel Desenfans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noel Desenfans Context triple: [Noel Desenfans, name, Noel Desenfans]
-
A.
Noel Desenfans
chosen
Noel Desenfans was an 18th–19th century French-born art dealer and collector who became a key figure in the British art world and co-founded the Dulwich Picture Gallery.
-
B.
Roger Degueldre
Roger Degueldre was a French Army officer best known as a leading figure and commando leader in the pro–French Algeria paramilitary underground during the Algerian War.
-
C.
Yvan Delporte
Yvan Delporte was a Belgian comics writer and editor best known for his influential work on the Smurfs franchise and other Franco-Belgian comics.
-
D.
Jacques Thienpont
Jacques Thienpont is a renowned Belgian winemaker best known for creating the cult Bordeaux wine Le Pin in Pomerol.
-
E.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a487bd8819081c6d1e4aa466d6f |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.