Triple
T21920153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonny Jurgensen |
E541287
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Sonny |
—
|
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: Sonny | Statement: [Sonny Jurgensen, nickname, Sonny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonny Context triple: [Sonny Jurgensen, nickname, Sonny]
-
A.
Sonny
chosen
Sonny is the nickname of Sonny Jurgensen, a Hall of Fame American football quarterback best known for his prolific passing career with the Washington Redskins.
-
B.
Sonny
Sonny is a central character in the television drama series "Treme," which explores life and music in post-Katrina New Orleans.
-
C.
Sonny
Sonny was the ring nickname of Charles "Sonny" Liston, the fearsome American heavyweight boxing champion of the early 1960s.
-
D.
Sonny
Sonny is the nickname of Albert Francis Capone, the only son of notorious American gangster Al Capone.
-
E.
Sonny
Sonny is a character in the 2018 American drama film "Arizona," which blends dark comedy with thriller elements set against the backdrop of the 2009 housing crisis.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233af5a481908072c7c928e065ad |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:44 p.m.