Triple
T2330644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning Red |
E48392
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Ava Morse
Ava Morse is an American actress and voice actress best known for voicing Miriam in Pixar's animated film "Turning Red."
|
E262034
|
NE FINISHED |
How this triple was built (4 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: Ava Morse | Statement: [Turning Red, voiceActor, Ava Morse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ava Morse Context triple: [Turning Red, voiceActor, Ava Morse]
-
A.
Adeline Fisher
Adeline Fisher was the first wife of English composer Ralph Vaughan Williams and a supportive figure in his early personal and artistic life.
-
B.
Julia Floyd
Julia Floyd was the wife of British statesman Sir Robert Peel, serving as a prominent Victorian-era political hostess and member of the English gentry.
-
C.
Emily St. Aubert
Emily St. Aubert is the virtuous, sensitive young heroine of Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho," known for her resilience amid terror, loss, and romantic trials.
-
D.
Julia Hoyt
Julia Hoyt was an American stage and silent film actress and socialite active in the early 20th century.
-
E.
Ella Leonard Norris
Ella Leonard Norris was the wife of longtime Nebraska U.S. Senator and progressive Republican reformer George W. Norris.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ava Morse Triple: [Turning Red, voiceActor, Ava Morse]
Generated description
Ava Morse is an American actress and voice actress best known for voicing Miriam in Pixar's animated film "Turning Red."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ava Morse Target entity description: Ava Morse is an American actress and voice actress best known for voicing Miriam in Pixar's animated film "Turning Red."
-
A.
Adeline Fisher
Adeline Fisher was the first wife of English composer Ralph Vaughan Williams and a supportive figure in his early personal and artistic life.
-
B.
Julia Floyd
Julia Floyd was the wife of British statesman Sir Robert Peel, serving as a prominent Victorian-era political hostess and member of the English gentry.
-
C.
Emily St. Aubert
Emily St. Aubert is the virtuous, sensitive young heroine of Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho," known for her resilience amid terror, loss, and romantic trials.
-
D.
Julia Hoyt
Julia Hoyt was an American stage and silent film actress and socialite active in the early 20th century.
-
E.
Ella Leonard Norris
Ella Leonard Norris was the wife of longtime Nebraska U.S. Senator and progressive Republican reformer George W. Norris.
- F. None of above. chosen
Provenance (5 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc669956881908b8d9784d6a06acf |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3be86dc8190af185bac9554e7d6 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb46f882881909294a3698ead865e |
completed | March 9, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb4c715a88190b1009a2cf1d95441 |
completed | March 9, 2026, 11:53 a.m. |
Created at: March 4, 2026, 7:50 p.m.