Triple
T8032971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cemetery Junction |
E187031
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Valerio Bonelli |
E380298
|
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: Valerio Bonelli | Statement: [Cemetery Junction, editedBy, Valerio Bonelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valerio Bonelli Context triple: [Cemetery Junction, editedBy, Valerio Bonelli]
-
A.
Valerio Bonelli
chosen
Valerio Bonelli is a film editor known for his work on acclaimed movies such as "Philomena."
-
B.
Riccardo Mazzucchelli
Riccardo Mazzucchelli was an Italian businessman and entrepreneur known for his brief high-profile marriage to socialite and businesswoman Ivana Trump.
-
C.
Rossano Rubicondi
Rossano Rubicondi was an Italian actor, model, and television personality best known internationally for his high-profile marriage to Ivana Trump.
-
D.
Rafael Sabatini
Rafael Sabatini was an Italian-English author best known for his swashbuckling historical adventure novels such as "Scaramouche" and "Captain Blood."
-
E.
Giulio Petroni
Giulio Petroni was an Italian film director best known for his influential work in the Spaghetti Western genre during the 1960s and 1970s.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef3e6848190913c4b1bef506aae |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56ede1ac8190afd8a050e9a25851 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.