Triple
T17607227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadfall |
E428863
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Nick Vallelonga |
—
|
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: Nick Vallelonga | Statement: [Deadfall, screenplayBy, Nick Vallelonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Vallelonga Context triple: [Deadfall, screenplayBy, Nick 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.
Michael Nuccio
Michael Nuccio is an actor known for appearing in the psychological thriller film "In the Cut."
-
C.
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.
-
D.
Marc Iacona
Marc Iacona is an American arts executive and co-founder of the Rochester International Jazz Festival, known for his role in developing it into a major jazz event.
-
E.
Nick Suriano
Nick Suriano is an American freestyle and folkstyle wrestler who became Rutgers University's first NCAA wrestling champion and later won a national title for the University of Michigan.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.