Triple
T2142894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coco |
E46999
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Mamá Coco
Mamá Coco is the elderly, soft-spoken great-grandmother whose memories and family ties are central to the emotional core of Pixar’s animated film "Coco."
|
E236698
|
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: Mamá Coco | Statement: [Coco, character, Mamá Coco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamá Coco Context triple: [Coco, character, Mamá Coco]
-
A.
Chiquitita
"Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
-
B.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
C.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
D.
La Quica
La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
-
E.
Mama
"Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
- 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: Mamá Coco Triple: [Coco, character, Mamá Coco]
Generated description
Mamá Coco is the elderly, soft-spoken great-grandmother whose memories and family ties are central to the emotional core of Pixar’s animated film "Coco."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamá Coco Target entity description: Mamá Coco is the elderly, soft-spoken great-grandmother whose memories and family ties are central to the emotional core of Pixar’s animated film "Coco."
-
A.
Chiquitita
"Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
-
B.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
C.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
D.
La Quica
La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
-
E.
Mama
"Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe206db0819095772af5358dca55 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b63e4081908a5d87af5d17d3c4 |
completed | March 9, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_69ae52d29d708190809ee4d5047b2755 |
completed | March 9, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae532ec8808190b1ecd8c4f66df30d |
completed | March 9, 2026, 4:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.