Triple
T22419739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally Buono |
E554213
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Buono
Buono is a surname most prominently associated with Wally Buono, a highly successful and long-tenured Canadian Football League coach and executive.
|
E1536488
|
NE FINISHED |
How this triple was built (4 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: Buono | Statement: [Wally Buono, familyName, Buono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buono Context triple: [Wally Buono, familyName, Buono]
-
A.
Del Bonita
Del Bonita is a small rural community in southern Alberta, Canada, located near the Canada–United States border.
-
B.
Bonino
Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
-
C.
Tucci
Tucci is the surname of Stanley Tucci, an acclaimed American actor, writer, director, and producer known for his versatile roles in film and television.
-
D.
Ottobuono
Ottobuono, later known as Pope Adrian V, was a 13th-century Italian cardinal who briefly served as head of the Catholic Church in 1276.
-
E.
Zambinella
Zambinella is a mysterious and androgynous opera singer in Honoré de Balzac’s novella "Sarrasine," whose true identity and gender play a central role in the story’s themes of art, desire, and illusion.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buono Triple: [Wally Buono, familyName, Buono]
Generated description
Buono is a surname most prominently associated with Wally Buono, a highly successful and long-tenured Canadian Football League coach and executive.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buono Target entity description: Buono is a surname most prominently associated with Wally Buono, a highly successful and long-tenured Canadian Football League coach and executive.
-
A.
Del Bonita
Del Bonita is a small rural community in southern Alberta, Canada, located near the Canada–United States border.
-
B.
Bonino
Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
-
C.
Tucci
Tucci is the surname of Stanley Tucci, an acclaimed American actor, writer, director, and producer known for his versatile roles in film and television.
-
D.
Ottobuono
Ottobuono, later known as Pope Adrian V, was a 13th-century Italian cardinal who briefly served as head of the Catholic Church in 1276.
-
E.
Zambinella
Zambinella is a mysterious and androgynous opera singer in Honoré de Balzac’s novella "Sarrasine," whose true identity and gender play a central role in the story’s themes of art, desire, and illusion.
- F. None of above. chosen
Provenance (5 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594a58508190b41fd16c8de5f8b4 |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0ee77208190b037b3baea224767 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0b08d42f148190a6dafbd6ef40727a |
completed | May 18, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b09afe1948190bf7bd09e637e9089 |
completed | May 18, 2026, 12:44 p.m. |
Created at: April 16, 2026, 8:46 p.m.