Triple
T17586244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellissima |
E428328
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Bellissima |
—
|
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: Bellissima | Statement: [Bellissima, title, Bellissima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellissima Context triple: [Bellissima, title, Bellissima]
-
A.
Bellissima
chosen
Bellissima is a 1951 Italian neorealist drama film about a mother's obsessive attempts to make her young daughter a movie star in Rome's Cinecittà studios.
-
B.
La Bella
La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
-
C.
Bello e impossibile
"Bello e impossibile" is a popular 1986 Italian rock song by Gianna Nannini that became one of her signature hits.
-
D.
Ave formosissima
"Ave formosissima" is a jubilant choral song from Carl Orff’s cantata *Carmina Burana*, praising a supremely beautiful and exalted lady.
-
E.
Another Beauty
Another Beauty is a reflective autobiographical essay collection by Polish poet and essayist Adam Zagajewski, exploring art, exile, memory, and the moral responsibilities of the artist in the late 20th century.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.