Triple
T14146478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppina |
E350562
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Giuseppína |
E215661
|
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: Giuseppína | Statement: [Giuseppina, hasVariantSpelling, Giuseppína]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giuseppína Context triple: [Giuseppina, hasVariantSpelling, Giuseppína]
-
A.
Josephine
"Josephine" is a song featured on the album *Higher Truth* by Chris Cornell.
-
B.
Josephine
chosen
Josephine is a feminine given name of Hebrew origin, commonly regarded as the French and English form of Joseph meaning "God will increase."
-
C.
Elisa Bonaparte
Elisa Bonaparte was a French princess and political figure of the Napoleonic era, best known for governing Tuscany and Lucca under her brother Napoleon’s rule.
-
D.
Letizia Bonaparte
Letizia Bonaparte was the mother of Napoleon Bonaparte and a prominent matriarch of the Bonaparte family during the Napoleonic era.
-
E.
Joséphine-Charlotte
Joséphine-Charlotte was a Belgian princess who became Grand Duchess of Luxembourg through her marriage to Grand Duke Jean.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2fdd7c8190b2ebf5a18c8039f2 |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 10, 2026, 12:54 a.m.