Triple
T8766507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack and Jill |
E208351
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jack Giarraputo |
E451234
|
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: Jack Giarraputo | Statement: [Jack and Jill, producer, Jack Giarraputo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Giarraputo Context triple: [Jack and Jill, producer, Jack Giarraputo]
-
A.
Jack Giarraputo
chosen
Jack Giarraputo is an American film producer best known for his long-running collaboration with Adam Sandler on numerous successful comedy films.
-
B.
Jay Sirianni
Jay Sirianni is an American high school football coach and former player best known for his long tenure leading the football program at Southwestern Central High School in New York.
-
C.
Joe Pasquale
Joe Pasquale is a British comedian and television personality known for his high-pitched voice, stand-up comedy, and appearances on various UK entertainment shows.
-
D.
Andy Scurto
Andy Scurto is an American businessman and sports executive best known for owning the Tulsa Oilers professional ice hockey team.
-
E.
Fred Tatasciore
Fred Tatasciore is an American voice actor known for his deep, powerful vocal performances in numerous animated series, films, and video games, often portraying larger-than-life or monstrous characters.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb7b08488190ba276e7b665e3ea4 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:41 p.m.