Triple
T30401305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Mermaid (TV series) |
E773355
|
entity |
| Predicate | voiceActorForUrsula |
P176335
|
FINISHED |
| Object | Pat Carroll |
—
|
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: Pat Carroll | Statement: [The Little Mermaid (TV series), voiceActorForUrsula, Pat Carroll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorForUrsula Context triple: [The Little Mermaid (TV series), voiceActorForUrsula, Pat Carroll]
-
A.
voiceActorForAriel
Indicates that one entity serves as the voice actor who provides the spoken and/or sung voice for the character Ariel in a production.
-
B.
voiceActorForMinnieMouse
Indicates that one entity serves as the voice actor who performs the character of Minnie Mouse for another entity (such as a show, film, or production).
-
C.
voiceActorFemale
Indicates that the subject is a female voice actor who provides the voice for the specified character or role.
-
D.
voiceActorForFlounder
Indicates that one entity serves as the voice actor for the character Flounder.
-
E.
voiceActorForShenzi
Indicates that one entity serves as the voice actor for the character Shenzi in a production.
- F. None of above. chosen
Provenance (4 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 29, 2026, 8:03 p.m.