Triple
T22742492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siméon Denis Poisson |
E562450
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Siméon |
—
|
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: Siméon | Statement: [Siméon Denis Poisson, givenName, Siméon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siméon Context triple: [Siméon Denis Poisson, givenName, Siméon]
-
A.
Siméon
chosen
Siméon is the given name of Siméon Denis Poisson, the influential French mathematician and physicist known for major contributions to probability theory and mathematical physics.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
Grégoire
Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
-
D.
Estienne
Estienne is the surname of a prominent French family of Renaissance printers and scholars, notably active in Paris and Geneva.
-
E.
Félicien
Félicien is a masculine given name of French origin, notably borne by the 19th-century Belgian artist and printmaker Félicien Rops.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797400fc8190bec26726f434f787 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.