Triple
T22705292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-François Blondel |
E561435
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jean-François |
—
|
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: Jean-François | Statement: [Jean-François Blondel, givenName, Jean-François]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-François Context triple: [Jean-François Blondel, givenName, Jean-François]
-
A.
Jean-François
chosen
Jean-François is the given name of Jean-François de La Clue-Sabran, an 18th-century French naval officer and admiral.
-
B.
Jean-Baptiste
Jean-Baptiste is the given name of French revolutionary writer and politician Louvet de Couvrai.
-
C.
Jean-Baptiste
Jean-Baptiste is a common French masculine given name of biblical origin, derived from John the Baptist.
-
D.
Jean-Baptiste
Jean-Baptiste is the given name of Charles III John of Norway, the 19th-century French-born marshal who became king of Sweden and Norway.
-
E.
Jean-Baptiste
Jean-Baptiste is the French given name of the mathematician and physicist Jean-Baptiste Joseph Fourier, known for pioneering Fourier analysis and the study of heat conduction.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cdc93481908f85d04560f8c285 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:16 p.m.