Triple
T10562344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ci sarà |
E249249
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Dario Farina |
E872346
|
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: Dario Farina | Statement: [Ci sarà, lyricist, Dario Farina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dario Farina Context triple: [Ci sarà, lyricist, Dario Farina]
-
A.
Dario Farina
chosen
Dario Farina is an Italian composer and songwriter known for his work in popular and film music.
-
B.
Furio Scarpelli
Furio Scarpelli was an influential Italian screenwriter renowned for co-writing numerous classics of Italian cinema, particularly in the commedia all’italiana genre.
-
C.
Jean Marie Farina
Jean Marie Farina is a historic fragrance line, inspired by one of the earliest original Eau de Cologne formulas, produced by the French perfume house Roger & Gallet.
-
D.
Alberto Giovannini
Alberto Giovannini was an Italian politician and public official who served in a key leadership role within Italy’s post-World War II institutional framework.
-
E.
Gino Cervi
Gino Cervi was an Italian actor best known for his roles in classic European cinema and for portraying the character Peppone in the popular Don Camillo film series.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527212dd081908629d91ce08f96a0 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e6e28a481909a90059e6ce51f6d |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:36 p.m.