Triple
T23468005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table 19 |
E569147
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tony Revolori |
—
|
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: Tony Revolori | Statement: [Table 19, starring, Tony Revolori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Revolori Context triple: [Table 19, starring, Tony Revolori]
-
A.
Tony Revolori
chosen
Tony Revolori is an American actor best known for his breakout role as Zero Moustafa in Wes Anderson’s film "The Grand Budapest Hotel" and for playing Flash Thompson in the Marvel Cinematic Universe Spider-Man films.
-
B.
Matthew Daddario
Matthew Daddario is an American actor best known for his role as Alec Lightwood on the television series "Shadowhunters."
-
C.
Mike Vogel
Mike Vogel is an American actor known for his roles in films like "Cloverfield" and "The Help" as well as TV series such as "Under the Dome."
-
D.
Chris DiDomenico
Chris DiDomenico is a Canadian professional ice hockey forward known for his playmaking skills and for having played in both the NHL and various European leagues.
-
E.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.