Triple
T2142837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story 3 |
E46998
|
entity |
| Predicate | voiceActor |
P1507
|
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: [Toy Story 3, voiceActor, Jodi Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodi Benson Context triple: [Toy Story 3, voiceActor, 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.
Cyndi Lauper
Cyndi Lauper is an American singer, songwriter, and actress known for her distinctive voice, eclectic style, and 1980s pop hits such as "Girls Just Want to Have Fun" and "Time After Time."
-
C.
Idina Menzel
Idina Menzel is an American actress and singer best known for her powerful Broadway performances in shows like "Wicked" and for voicing Elsa in Disney's "Frozen."
-
D.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
E.
Nina Warren
Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe206db0819095772af5358dca55 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d5535c8190b59293afe3a10834 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.