Triple
T13755356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narrator (Disney's "Cinderella") |
E330460
|
entity |
| Predicate | credits |
P66001
|
FINISHED |
| Object | uncredited voice role in original release |
—
|
LITERAL 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: uncredited voice role in original release | Statement: [Narrator (Disney's "Cinderella"), credits, uncredited voice role in original release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: credits Context triple: [Narrator (Disney's "Cinderella"), credits, uncredited voice role in original release]
-
A.
creditedFor
Indicates that one entity is acknowledged as the source, contributor, or originator responsible for another entity (such as a work, achievement, or outcome).
-
B.
creditsAre
Indicates that certain credits are assigned, attributed, or owed to a particular entity or set of entities.
-
C.
creditedIn
chosen
Indicates that an entity is acknowledged or listed as a contributor or source within a particular work, record, or context.
-
D.
thanks
Indicates that one entity expresses gratitude or appreciation to another for an action, service, or favor.
-
E.
citation
Indicates that one entity references, quotes, or otherwise acknowledges another entity as a source of information or authority.
- F. None of above.
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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:09 p.m.