Triple
T14703284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Breaks the Internet |
E345360
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object | Jodi Benson |
E237535
|
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: Jodi Benson | Statement: [Ralph Breaks the Internet, voiceCastMember, Jodi Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodi Benson Context triple: [Ralph Breaks the Internet, voiceCastMember, Jodi Benson]
-
A.
Jodi Benson
chosen
Jodi Benson is an American actress and singer best known as the iconic voice of Ariel in Disney’s "The Little Mermaid."
-
B.
Amy Rydell
Amy Rydell is an actress known for her role in the 2001 biographical television film "James Dean."
-
C.
Bonnie Anderson
Bonnie Anderson is the imaginative young girl who becomes the new owner of Woody and the other toys in Pixar's Toy Story 3 and its sequels.
-
D.
Teresa Carpenter
Teresa Carpenter is a Pulitzer Prize–winning American journalist and author known for her incisive true-crime and narrative nonfiction writing.
-
E.
Frances Bergen
Frances Bergen was an American actress and fashion model, best known as the wife of ventriloquist Edgar Bergen and the mother of actress Candice Bergen.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.