Triple
T2139824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story 2 |
E46735
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object | John Ratzenberger |
E240000
|
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: John Ratzenberger | Statement: [Toy Story 2, voiceCastMember, John Ratzenberger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ratzenberger Context triple: [Toy Story 2, voiceCastMember, John Ratzenberger]
-
A.
John Ratzenberger
chosen
John Ratzenberger is an American actor and voice actor best known for his role as Cliff Clavin on "Cheers" and for voicing characters in numerous Pixar animated films.
-
B.
John Ritter
John Ritter was an American actor and comedian best known for his role as Jack Tripper on the hit sitcom "Three's Company."
-
C.
Harvey Korman
Harvey Korman was an American comedic actor best known for his work on *The Carol Burnett Show* and in Mel Brooks films such as *Blazing Saddles* and *History of the World, Part I*.
-
D.
Bill Farmer
Bill Farmer is an American voice actor best known for voicing Disney characters such as Goofy and Pluto.
-
E.
Fred Willard
Fred Willard was an American comedic actor and improviser known for his deadpan delivery and scene-stealing roles in mockumentaries like "Best in Show" and numerous television comedies.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe025d3c81908bcb33a7ff09eae8 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae893ade888190980001116e10c874 |
completed | March 9, 2026, 8:47 a.m. |
Created at: March 4, 2026, 7:44 p.m.