Triple
T21331727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honoré Beaugrand |
E525919
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Honoré |
—
|
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: Honoré | Statement: [Honoré Beaugrand, givenName, Honoré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honoré Context triple: [Honoré Beaugrand, givenName, Honoré]
-
A.
Honoré
chosen
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
-
B.
Hugon
Hugon is a French surname borne by various individuals, including figures in the arts, politics, and academia.
-
C.
Maxime
Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
-
D.
Félicien
Félicien is a masculine given name of French origin, notably borne by the 19th-century Belgian artist and printmaker Félicien Rops.
-
E.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab54706081909445f9cd91a43788 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.