Triple
T14233475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigger |
E352812
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Jim Cummings |
E281653
|
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: Jim Cummings | Statement: [Tigger, voiceActor, Jim Cummings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Cummings Context triple: [Tigger, voiceActor, Jim Cummings]
-
A.
Jim Cummings
chosen
Jim Cummings is a prolific American voice actor best known for voicing iconic animated characters such as Winnie the Pooh, Tigger, and Darkwing Duck.
-
B.
Frank Welker
Frank Welker is a prolific American voice actor renowned for his work in animation and film, including iconic roles in series like "Scooby-Doo" and "Transformers."
-
C.
Bob Morton
Bob Morton is a fictional corporate executive and ambitious OCP executive from the 1987 science fiction film "RoboCop."
-
D.
Scott Menville
Scott Menville is an American voice actor and musician best known for roles in animated series such as Robin in "Teen Titans" and numerous other cartoon and video game characters.
-
E.
Jeff Bennett
Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622cdd6481908befa179a9675bb5 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281bc67c81909bb09ee4a39a0b7f |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:07 a.m.