Triple
T19801921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitch Pileggi |
E475701
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pileggi |
—
|
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: Pileggi | Statement: [Mitch Pileggi, familyName, Pileggi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pileggi Context triple: [Mitch Pileggi, familyName, Pileggi]
-
A.
Pileggi
chosen
Pileggi is an Italian surname most notably associated with Nicholas Pileggi, the American author and screenwriter known for his works on organized crime.
-
B.
Piletti
Piletti is an Italian-origin surname most notably associated with the fictional character Marty Piletti from the 1955 film "Marty."
-
C.
Pandiali
Pandiali is a town and administrative settlement located in the Mohmand region of northwestern Pakistan.
-
D.
Palički
Palički is a spelling variant of the surname Palicki, which is of Slavic origin and borne by various individuals, including some in Central and Eastern Europe.
-
E.
Pagli Pol
Pagli Pol is one of the historic entrance gates of Rajasthan’s Kumbhalgarh Fort, notable as part of the fort’s extensive defensive gateway system.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cc995c81908e4ca85b0639d541 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.