Triple
T2330640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning Red |
E48392
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Miriam Mendelsohn
Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
|
E316906
|
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: Miriam Mendelsohn | Statement: [Turning Red, mainCharacter, Miriam Mendelsohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miriam Mendelsohn Context triple: [Turning Red, mainCharacter, Miriam Mendelsohn]
-
A.
Miriam Bienstock
Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
-
B.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
C.
Esther Raab
Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
-
D.
Leila Gerstein
Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
-
E.
Maria Nuzberg
Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
- 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: Miriam Mendelsohn Triple: [Turning Red, mainCharacter, Miriam Mendelsohn]
Generated description
Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miriam Mendelsohn Target entity description: Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
-
A.
Miriam Bienstock
Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
-
B.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
C.
Esther Raab
Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
-
D.
Leila Gerstein
Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
-
E.
Maria Nuzberg
Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
- 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_69b108bbc090819092b76eb134aad909 |
completed | March 11, 2026, 6:16 a.m. |
| NEDg | Description generation | batch_69b10b6cead481908ad8ff7e65caebcf |
completed | March 11, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10f1ed9e88190ae4b06611d0c772c |
completed | March 11, 2026, 6:43 a.m. |
Created at: March 4, 2026, 7:50 p.m.