Triple
T16624695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daxter |
E403915
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Max Casella |
—
|
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: Max Casella | Statement: [Daxter, voiceActor, Max Casella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Casella Context triple: [Daxter, voiceActor, Max Casella]
-
A.
Max Casella
chosen
Max Casella is an American actor best known for his roles in the TV series "Doogie Howser, M.D." and "The Sopranos," as well as extensive work in film, television, stage, and voice acting.
-
B.
Bob Casale
Bob Casale was an American guitarist, keyboardist, and producer best known as a founding member of the new wave band Devo.
-
C.
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.
-
D.
Anthony Marinelli
Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
-
E.
Robert Mammone
Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37550ee308190931fd50aeebe1e7e |
completed | April 18, 2026, 12:13 p.m. |
Created at: April 10, 2026, 5:17 a.m.