Triple
T9762308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamá Coco |
E236698
|
entity |
| Predicate | nameInEnglish |
P3437
|
FINISHED |
| Object |
Mama Coco
Mama Coco is a central elderly character in Pixar’s animated film "Coco," known as Miguel’s great-grandmother whose memories are key to preserving her father’s legacy.
|
E820460
|
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: Mama Coco | Statement: [Mamá Coco, nameInEnglish, Mama Coco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mama Coco Context triple: [Mamá Coco, nameInEnglish, Mama Coco]
-
A.
Lolita Baucaire
Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
-
B.
Baba Marta
Baba Marta is a traditional Bulgarian holiday on March 1st that welcomes the coming of spring, marked by the exchange of red-and-white martenitsa adornments for health and good fortune.
-
C.
Nené
Nené is a former Brazilian footballer best known as a prolific forward for S.L. Benfica during the 1970s and 1980s.
-
D.
Miqui
Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
-
E.
Irma Santos
Irma Santos is best known as the wife of influential Cuban-American businessman and anti-Castro activist Jorge Mas Canosa.
- 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: Mama Coco Triple: [Mamá Coco, nameInEnglish, Mama Coco]
Generated description
Mama Coco is a central elderly character in Pixar’s animated film "Coco," known as Miguel’s great-grandmother whose memories are key to preserving her father’s legacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mama Coco Target entity description: Mama Coco is a central elderly character in Pixar’s animated film "Coco," known as Miguel’s great-grandmother whose memories are key to preserving her father’s legacy.
-
A.
Lolita Baucaire
Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
-
B.
Baba Marta
Baba Marta is a traditional Bulgarian holiday on March 1st that welcomes the coming of spring, marked by the exchange of red-and-white martenitsa adornments for health and good fortune.
-
C.
Nené
Nené is a former Brazilian footballer best known as a prolific forward for S.L. Benfica during the 1970s and 1980s.
-
D.
Miqui
Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
-
E.
Irma Santos
Irma Santos is best known as the wife of influential Cuban-American businessman and anti-Castro activist Jorge Mas Canosa.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcec777c81908b2eff64f4756517 |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1beefbd1c8190bab597373231cca1 |
completed | April 5, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bf4bb6088190801095cacd218571 |
completed | April 5, 2026, 1:47 a.m. |
Created at: March 30, 2026, 8:25 p.m.