Triple
T10915557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Biasone |
E257812
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Biasone
Biasone is an Italian surname most notably associated with Danny Biasone, the basketball executive credited with creating the NBA’s 24-second shot clock.
|
E894312
|
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: Biasone | Statement: [Danny Biasone, familyName, Biasone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biasone Context triple: [Danny Biasone, familyName, Biasone]
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Bitritto
Bitritto is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
-
C.
Carosino
Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
-
D.
Besisi
Besisi is an Aslian (Austroasiatic) language traditionally spoken by an indigenous Semang (Orang Asli) community in Peninsular Malaysia.
-
E.
Borgetti
Borgetti is an Italian-origin surname most notably associated with Mexican footballer Jared Borgetti, one of Mexico’s all-time leading goal scorers.
- 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: Biasone Triple: [Danny Biasone, familyName, Biasone]
Generated description
Biasone is an Italian surname most notably associated with Danny Biasone, the basketball executive credited with creating the NBA’s 24-second shot clock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biasone Target entity description: Biasone is an Italian surname most notably associated with Danny Biasone, the basketball executive credited with creating the NBA’s 24-second shot clock.
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Bitritto
Bitritto is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
-
C.
Carosino
Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
-
D.
Besisi
Besisi is an Aslian (Austroasiatic) language traditionally spoken by an indigenous Semang (Orang Asli) community in Peninsular Malaysia.
-
E.
Borgetti
Borgetti is an Italian-origin surname most notably associated with Mexican footballer Jared Borgetti, one of Mexico’s all-time leading goal scorers.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216eb77dc81908c380f5fcd507275 |
completed | April 17, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69e21d8952c881908a952de83754e049 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e2247fbd348190bb0d221923dac892 |
completed | April 17, 2026, 12:16 p.m. |
Created at: April 8, 2026, 9:22 p.m.