Triple
T3313618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aladdin (1992 film) |
E69628
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object |
Linda Larkin
Linda Larkin is an American actress best known for providing the speaking voice of Princess Jasmine in Disney’s animated film "Aladdin" and its related media.
|
E564221
|
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: Linda Larkin | Statement: [Aladdin (1992 film), voiceCastMember, Linda Larkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Larkin Context triple: [Aladdin (1992 film), voiceCastMember, Linda Larkin]
-
A.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
-
B.
Linda Gunderson
Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
-
C.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
D.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
-
E.
Linda Clapp
Linda Clapp is best known as the wife of Fred Trump Jr., the older brother of former U.S. President Donald Trump.
- 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: Linda Larkin Triple: [Aladdin (1992 film), voiceCastMember, Linda Larkin]
Generated description
Linda Larkin is an American actress best known for providing the speaking voice of Princess Jasmine in Disney’s animated film "Aladdin" and its related media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Larkin Target entity description: Linda Larkin is an American actress best known for providing the speaking voice of Princess Jasmine in Disney’s animated film "Aladdin" and its related media.
-
A.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
-
B.
Linda Gunderson
Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
-
C.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
D.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
-
E.
Linda Clapp
Linda Clapp is best known as the wife of Fred Trump Jr., the older brother of former U.S. President Donald Trump.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0ef548481908b3aabc7052c70d8 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1132b29ac819086654ae935e819ef |
completed | March 23, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69c1153b6ce8819090a13d349ccd2d6c |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115acfe748190b91c88df81c2e1c2 |
completed | March 23, 2026, 10:27 a.m. |
Created at: March 8, 2026, 3:11 p.m.