Triple
T15921923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Vélo |
E386112
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Paul Rousseau |
E1213615
|
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: Paul Rousseau | Statement: [Le Vélo, foundedBy, Paul Rousseau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Rousseau Context triple: [Le Vélo, foundedBy, Paul Rousseau]
-
A.
Paul Rousseau
chosen
Paul Rousseau was a French publisher best known for his role in founding and managing the influential early 20th-century sports newspaper Le Vélo.
-
B.
Ronald Rousseau
Ronald Rousseau is a Belgian information scientist and bibliometrician known for his influential contributions to scientometrics and research evaluation.
-
C.
Paul Bourgeois
Paul Bourgeois is a relatively obscure individual whose name is notably associated with the surname Bourgeois rather than with widely recognized public achievements.
-
D.
Paul Vaudrey
Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
-
E.
Pierre Rousseau
Pierre Rousseau was an 18th-century French architect noted for his neoclassical designs in Paris.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156825b1881908477ec93cc7b5f02 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f39008c819095ad8512eb119ee8 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 4:52 a.m.