Triple
T10331198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peynet lovers |
E242876
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Raymond Peynet |
E280309
|
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: Raymond Peynet | Statement: [Peynet lovers, namedAfter, Raymond Peynet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raymond Peynet Context triple: [Peynet lovers, namedAfter, Raymond Peynet]
-
A.
Raymond Peynet
chosen
Raymond Peynet was a French illustrator best known for his romantic "lovers" characters, which became iconic in mid-20th-century French popular culture.
-
B.
Raymond Février
Raymond Février was a French architect best known for co-designing Madrid’s iconic Beaux-Arts style Edificio Metrópolis in the early 20th century.
-
C.
René Guiette
René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
-
D.
Alain Chevalier
Alain Chevalier was a French businessman best known as a co-founder and early architect of the luxury goods conglomerate LVMH.
-
E.
Adolphe Billault
Adolphe Billault was a 19th-century French lawyer and politician who became a prominent statesman during the Second French Empire.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fcaf4c8190bdcfcb953d88ea2f |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5a9dc881909b695f7e87dfcdf6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 6, 2026, 11:52 a.m.