Triple
T22347259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles-Louis Havas |
E552425
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Charles-Louis |
—
|
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: Charles-Louis | Statement: [Charles-Louis Havas, givenName, Charles-Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles-Louis Context triple: [Charles-Louis Havas, givenName, Charles-Louis]
-
A.
Charles-Louis
chosen
Charles-Louis was the given name of Montesquieu, the influential French Enlightenment thinker best known for his theory of the separation of powers in government.
-
B.
Charles Louis
Charles Louis was a German nobleman who served as the hereditary prince of Baden in the 18th century.
-
C.
Louis-François
Louis-François is the given name of Marshal Boufflers, a prominent French military commander and nobleman of the late 17th and early 18th centuries.
-
D.
Charles-François
Charles-François is a French masculine given name historically borne by several notable figures, including politicians, artists, and writers.
-
E.
Charles-Louis Philippe
Charles-Louis Philippe was a French novelist and essayist of the late 19th and early 20th centuries, known for his sensitive portrayals of working-class life and psychological depth.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157995bec819080b8d05fa88704ed |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.