Triple
T23162306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Bennett DiFiglia |
E578618
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | DiFiglia |
—
|
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: DiFiglia | Statement: [Michael Bennett DiFiglia, familyName, DiFiglia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DiFiglia Context triple: [Michael Bennett DiFiglia, familyName, DiFiglia]
-
A.
DiFiglia
chosen
DiFiglia is an Italian-origin surname borne by various individuals, including those in the arts and entertainment fields.
-
B.
Figan
Figan is an individual known primarily through their familial relationship as the child of Flo.
-
C.
Donofrio
Donofrio is an Italian-origin surname borne by various notable individuals in fields such as business, sports, and the arts.
-
D.
Scarpelli
Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
-
E.
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.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.