Triple
T10814679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noemi |
E255193
|
entity |
| Predicate | hasDiacriticVariant |
P457
|
FINISHED |
| Object | Noémi |
E255193
|
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: Noémi | Statement: [Noemi, hasDiacriticVariant, Noémi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noémi Context triple: [Noemi, hasDiacriticVariant, Noémi]
-
A.
Noemi
chosen
Noemi is a feminine given name used in various languages, often considered an alternative form of the biblical name Naomi.
-
B.
Aleida
Aleida is a feminine given name of Spanish origin, notably borne by Aleida Guevara, the daughter of revolutionary leader Che Guevara.
-
C.
Fabiola
Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
-
D.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
E.
Marita
Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733ece4488190b553a66c4b5188bc |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0f9e3a081908163b398d845deeb |
completed | April 14, 2026, 9:26 p.m. |
Created at: April 8, 2026, 9:18 p.m.