Triple
T10201122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Book |
E238881
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Tony Vallelonga |
E847390
|
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: Tony Vallelonga | Statement: [Green Book, portrays, Tony Vallelonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Vallelonga Context triple: [Green Book, portrays, Tony Vallelonga]
-
A.
Nick Vallelonga
chosen
Nick Vallelonga is an American actor, screenwriter, and filmmaker best known for co-writing and producing the Academy Award–winning film "Green Book."
-
B.
Sam Lavagnino
Sam Lavagnino is an American child voice actor known for roles in animated television series and films, including work in the 2018 adaptation of Dr. Seuss' The Grinch.
-
C.
Michael Ferraro
Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
-
D.
Marc Ferraro
Marc Ferraro is an individual notable enough to be recognized as a namesake of the surname Ferraro, though specific widely known public details about him are limited.
-
E.
Daniel Caltagirone
Daniel Caltagirone is a British actor known for his work in film and television, including roles in projects such as "The Beach," "The Pianist," and various UK dramas.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d35512ab2c8190b2802c7bb22e7323 |
completed | April 6, 2026, 6:39 a.m. |
Created at: March 30, 2026, 9:14 p.m.