Triple
T2966340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Bisciotti |
E80173
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bisciotti
Bisciotti is an Italian surname most prominently associated with Steve Bisciotti, the American billionaire businessman and principal owner of the NFL’s Baltimore Ravens.
|
E314755
|
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: Bisciotti | Statement: [Steve Bisciotti, familyName, Bisciotti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bisciotti Context triple: [Steve Bisciotti, familyName, Bisciotti]
-
A.
Balducci
Balducci is a member of the group or organization known as The Network.
-
B.
Gino
Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
-
C.
Cipollone
Cipollone is an Italian surname most prominently associated with Pat Cipollone, a lawyer who served as White House Counsel under U.S. President Donald Trump.
-
D.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
E.
Galluzzo
Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
- 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: Bisciotti Triple: [Steve Bisciotti, familyName, Bisciotti]
Generated description
Bisciotti is an Italian surname most prominently associated with Steve Bisciotti, the American billionaire businessman and principal owner of the NFL’s Baltimore Ravens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bisciotti Target entity description: Bisciotti is an Italian surname most prominently associated with Steve Bisciotti, the American billionaire businessman and principal owner of the NFL’s Baltimore Ravens.
-
A.
Balducci
Balducci is a member of the group or organization known as The Network.
-
B.
Gino
Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
-
C.
Cipollone
Cipollone is an Italian surname most prominently associated with Pat Cipollone, a lawyer who served as White House Counsel under U.S. President Donald Trump.
-
D.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
E.
Galluzzo
Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad996e93788190ba9883714d4dfa0c |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc9fcfa48190a5e23ec1f3f01038 |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b100c1bfd48190ab71f460afb096e3 |
completed | March 11, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10126bd788190b40f3ce1a8a547aa |
completed | March 11, 2026, 5:44 a.m. |
Created at: March 8, 2026, 2:58 p.m.