Triple
T23544482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly Sinatra |
E577851
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Natalina |
—
|
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: Natalina | Statement: [Dolly Sinatra, givenName, Natalina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalina Context triple: [Dolly Sinatra, givenName, Natalina]
-
A.
Natalina
chosen
Natalina is an Italian feminine given name, often used in regions with strong Italian cultural and linguistic roots.
-
B.
Marinka
Marinka is a 1945 operetta by Hungarian composer Emmerich Kálmán, based on the story of the assassination of Archduke Franz Ferdinand in Sarajevo.
-
C.
Aroona
Aroona is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its residential character and proximity to beaches and local amenities.
-
D.
Tona
Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
E.
Jacinta
Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1ef55c8190a93c33e704ec3b5a |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:11 p.m.