Triple
T17905048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalky White |
E447678
|
entity |
| Predicate | hasConflictWith |
P4897
|
FINISHED |
| Object | Gyp Rosetti |
—
|
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: Gyp Rosetti | Statement: [Chalky White, hasConflictWith, Gyp Rosetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyp Rosetti Context triple: [Chalky White, hasConflictWith, Gyp Rosetti]
-
A.
Gyp Rosetti
chosen
Gyp Rosetti is a volatile and sadistic Italian-American gangster who serves as a major antagonist in the television series "Boardwalk Empire."
-
B.
Gulley Jimson
Gulley Jimson is a disreputable, obsessive, and eccentric aging painter who serves as the roguish antihero of Joyce Cary’s comic novel "The Horse’s Mouth."
-
C.
Lyonel
Lyonel is a masculine given name most notably borne by the German-American painter and caricaturist Lyonel Feininger.
-
D.
Danny Deever
"Danny Deever" is a dramatic narrative poem by Rudyard Kipling that depicts the execution of a British soldier through the dialogue of rank-and-file troops and their sergeant.
-
E.
Bartholomew Green
Bartholomew Green was a prominent early 18th-century Boston printer and publisher known for producing influential colonial American works.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9b643c8190a01e9ec4caa88183 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.