Triple
T15289561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The One and Only Ivan |
E365490
|
entity |
| Predicate | voiceCast |
P18510
|
FINISHED |
| Object | Ron Funches |
E483964
|
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: Ron Funches | Statement: [The One and Only Ivan, voiceCast, Ron Funches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Funches Context triple: [The One and Only Ivan, voiceCast, Ron Funches]
-
A.
Ron Funches
chosen
Ron Funches is an American stand-up comedian and actor known for his warm, laid-back delivery and distinctive voice work in animated films and television.
-
B.
John Farris
John Farris is an American novelist and screenwriter best known for his horror and suspense fiction, including the novel that inspired Brian De Palma’s film "The Fury."
-
C.
John Fossitt
John Fossitt is a musician best known as a member of the band The Hooligans.
-
D.
Don Fussell
Don Fussell is a computer scientist and professor known for his work in computer systems and for mentoring prominent researchers in the field.
-
E.
Roy Furman
Roy Furman is an American theater producer and financier known for backing numerous successful Broadway productions.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364bafd0819086b8aab1c216c6fa |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:15 a.m.