Triple
T11154757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jolanda |
E263876
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Iolanda |
E261333
|
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: Iolanda | Statement: [Jolanda, hasSpellingVariant, Iolanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iolanda Context triple: [Jolanda, hasSpellingVariant, Iolanda]
-
A.
Iolanda
chosen
Iolanda is a feminine given name, a variant of Yolanda, used in various European languages.
-
B.
Vittoria
Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
-
C.
Merania
Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
-
D.
Lissa
Lissa is a historic town in western Poland, known today as Leszno, that was once part of Germany and is notable as the birthplace of several prominent Jewish and intellectual figures.
-
E.
Madalena
Madalena is a neighborhood in the Brazilian city of Recife, known for its urban character and local commerce.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e872ffbc8190b8a3bbd912115342 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4836718a08190b8eae87ce91bbfa0 |
completed | April 19, 2026, 7:25 a.m. |
Created at: April 8, 2026, 9:28 p.m.