Triple
T16692934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfons Mucha |
E405637
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alfons |
E405637
|
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: Alfons | Statement: [Alfons Mucha, givenName, Alfons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfons Context triple: [Alfons Mucha, givenName, Alfons]
-
A.
Alfons
chosen
Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
-
B.
Adolfo
Adolfo is a masculine given name, commonly used in Spanish and Italian, that derives from the Germanic name Adolf.
-
C.
Alfréd
Alfréd is a given name, primarily used in Hungarian and other Central European languages, that is a variant of the name Alfred.
-
D.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
E.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091984dcc8190b0b20d2e57bc3a11 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.