Triple
T20664696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An American Tail |
E507853
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Erica Yohn |
—
|
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: Erica Yohn | Statement: [An American Tail, voiceActor, Erica Yohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erica Yohn Context triple: [An American Tail, voiceActor, Erica Yohn]
-
A.
Erica Yohn
chosen
Erica Yohn was an American character actress known for her supporting roles in film and television from the 1970s through the 1990s.
-
B.
Erica Hanson
Erica Hanson is the wife of American actor and comedian Ike Barinholtz, known for maintaining a relatively private life outside of her husband's public career.
-
C.
Erica Oyama
Erica Oyama is an American screenwriter and producer best known for creating the web series "Burning Love" and writing for various film and television comedies.
-
D.
Elissa Matsueda
Elissa Matsueda is a screenwriter best known for her work on the 2018 ensemble comedy film "Dog Days."
-
E.
Tanya Horie
Tanya Horie is a comic book colorist known for her work on titles such as DC Comics' "Dial H."
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f541bc8190ac7946b91647f2b0 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.