Triple
T11050062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudy |
E261221
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Angelo Pizzo |
E825239
|
NE FINISHED |
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: Angelo Pizzo | Statement: [Rudy, writer, Angelo Pizzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelo Pizzo Context triple: [Rudy, writer, Angelo Pizzo]
-
A.
Angelo Pizzo
chosen
Angelo Pizzo is an American screenwriter and film producer best known for writing and producing inspirational sports dramas such as "Hoosiers" and "Rudy."
-
B.
Lillo Brancato
Lillo Brancato is an American actor best known for his roles in "A Bronx Tale" and "The Sopranos," whose career was later overshadowed by legal troubles and imprisonment.
-
C.
Vito Luprano
Vito Luprano is a Canadian music executive and record producer best known for his longtime work with Celine Dion and his role in shaping her international career.
-
D.
Nunzio Randazzo
Nunzio Randazzo is a screenwriter best known for co-writing the animated comedy film "Hotel Transylvania: Transformania."
-
E.
Frank Abbandando
Frank Abbandando was a notorious New York contract killer and member of the Murder, Inc. crime syndicate active during the 1930s and 1940s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462bd90f48190aa3df8725026a9ba |
completed | April 19, 2026, 5:06 a.m. |
Created at: April 8, 2026, 9:26 p.m.