Triple
T14600529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Dogs |
E342691
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Roger Bondelli |
E880586
|
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: Roger Bondelli | Statement: [Snow Dogs, editedBy, Roger Bondelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Bondelli Context triple: [Snow Dogs, editedBy, Roger Bondelli]
-
A.
Roger Bondelli
chosen
Roger Bondelli is a film editor best known for his work on the 1996 historical adventure thriller "The Ghost and the Darkness."
-
B.
Alberto Colantuoni
Alberto Colantuoni was an Italian literary figure best known for establishing the prestigious Viareggio Prize for literature.
-
C.
Giovanni Antonelli
Giovanni Antonelli was an Italian astronomer and Jesuit priest known for his contributions to 19th-century astronomical research and observatory work.
-
D.
Alessandro Antonelli
Alessandro Antonelli was a 19th-century Italian architect best known for designing Turin’s iconic Mole Antonelliana.
-
E.
Enzo Bartoccioli
Enzo Bartoccioli was an Italian film editor and translator best known as the longtime partner and later husband of artist and activist Suze Rotolo, Bob Dylan’s early muse.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c9a6748190878efa4970ce2b04 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.