Triple
T21275676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Bonanno |
E524380
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Fay Labruzzo |
—
|
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: Fay Labruzzo | Statement: [Joe Bonanno, spouse, Fay Labruzzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fay Labruzzo Context triple: [Joe Bonanno, spouse, Fay Labruzzo]
-
A.
Fay Labruzzo
chosen
Fay Labruzzo was the wife of notorious New York Mafia boss Joseph Bonanno, a key figure in mid-20th-century organized crime.
-
B.
Adrienne La Russa
Adrienne La Russa is an American actress best known for her work in television soap operas during the 1970s.
-
C.
Beth Howland
Beth Howland was an American actress best known for her role as the high-strung waitress Vera Louise Gorman on the long-running sitcom "Alice."
-
D.
Diane Addonizio
Diane Addonizio is an American lawyer and businesswoman best known as the longtime wife of Hall of Fame NFL defensive end and sports analyst Howie Long.
-
E.
Kathy Auriemma
Kathy Auriemma is the wife of legendary University of Connecticut women's basketball coach Geno Auriemma and is known for her long-standing support and presence alongside him throughout his career.
- 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.