Triple
T21275647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Bonanno |
E524380
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Joe Bananas |
—
|
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: Joe Bananas | Statement: [Joe Bonanno, alias, Joe Bananas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Bananas Context triple: [Joe Bonanno, alias, Joe Bananas]
-
A.
Joe Bananas
Joe Bananas is an alias of Ol' Dirty Bastard, the eccentric and influential rapper and founding member of the Wu-Tang Clan.
-
B.
Joe Bananas
chosen
Joe Bananas is the nickname of Joseph Bonanno, a prominent 20th-century American Mafia boss who led the Bonanno crime family in New York.
-
C.
The Big Banana
The Big Banana is an iconic giant banana-shaped structure and amusement park in Coffs Harbour, New South Wales, serving as one of Australia's most famous "Big Things" roadside attractions.
-
D.
Going Bananas
"Going Bananas" is a British comedy film featuring Norman Wisdom in one of his characteristically slapstick, lighthearted roles.
-
E.
Banana Joe
Banana Joe is a recurring comedic character in the animated television series "The Amazing World of Gumball," depicted as an anthropomorphic banana and one of Gumball's classmates.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736577fd48190a0038a6ac5678668 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.