Triple
T21956288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Program |
E542195
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Valerio Bonelli |
—
|
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: Valerio Bonelli | Statement: [The Program, editedBy, Valerio Bonelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valerio Bonelli Context triple: [The Program, editedBy, Valerio Bonelli]
-
A.
Valerio Bonelli
chosen
Valerio Bonelli is a film editor known for his work on acclaimed movies such as "Philomena."
-
B.
Carlo Bonelli
Carlo Bonelli was a 17th-century Italian cardinal and papal diplomat who served in several high-ranking ecclesiastical and diplomatic roles within the Catholic Church.
-
C.
Jacopo Belbo
Jacopo Belbo is a fictional Milanese editor and intellectual who becomes obsessively entangled in conspiracy theories in Umberto Eco’s novel "Foucault’s Pendulum."
-
D.
Riccardo Mazzucchelli
Riccardo Mazzucchelli was an Italian businessman and entrepreneur known for his brief high-profile marriage to socialite and businesswoman Ivana Trump.
-
E.
Hugo Pratt
Hugo Pratt was an influential Italian comic book creator best known for his atmospheric, adventure-driven graphic novels, particularly the Corto Maltese series.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124404f38819080bae736a52a51cd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.