Triple
T17908913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Arms |
E447770
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Fred Tatasciore |
—
|
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: Fred Tatasciore | Statement: [Four Arms, voiceActor, Fred Tatasciore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Tatasciore Context triple: [Four Arms, voiceActor, Fred Tatasciore]
-
A.
Fred Tatasciore
chosen
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.
-
B.
Frank Santillo
Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
-
C.
John Scurti
John Scurti is an American actor best known for his role as Lieutenant Ken "Lou" Shea on the television drama series "Rescue Me."
-
D.
John Cusimano
John Cusimano is an American lawyer, musician, and television producer best known as the longtime husband of celebrity chef and TV host Rachael Ray.
-
E.
John Ferolito
John Ferolito is an American entrepreneur best known as a co-founder of the Arizona Iced Tea beverage brand.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.