Triple
T550987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spy Kids |
E11838
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Juni Cortez
Juni Cortez is a young, tech-savvy secret agent and one of the sibling protagonists in the Spy Kids film series.
|
E73070
|
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: Juni Cortez | Statement: [Spy Kids, mainCharacter, Juni Cortez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juni Cortez Context triple: [Spy Kids, mainCharacter, Juni Cortez]
-
A.
Carmen Cortez
Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
-
B.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
C.
Claudia Castello
Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
-
D.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
E.
Bertha Navarro
Bertha Navarro is a Mexican film producer best known for her long-time collaboration with director Guillermo del Toro on acclaimed genre and art-house films.
- 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: Juni Cortez Triple: [Spy Kids, mainCharacter, Juni Cortez]
Generated description
Juni Cortez is a young, tech-savvy secret agent and one of the sibling protagonists in the Spy Kids film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juni Cortez Target entity description: Juni Cortez is a young, tech-savvy secret agent and one of the sibling protagonists in the Spy Kids film series.
-
A.
Carmen Cortez
Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
-
B.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
C.
Claudia Castello
Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
-
D.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
E.
Bertha Navarro
Bertha Navarro is a Mexican film producer best known for her long-time collaboration with director Guillermo del Toro on acclaimed genre and art-house films.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e219c788190888ef02fad09096e |
completed | March 2, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69a50e8f3be48190afff999bc3fa9f8a |
completed | March 2, 2026, 4:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a50ee34654819097bc0f70bd59de4d |
completed | March 2, 2026, 4:15 a.m. |
Created at: March 1, 2026, 7:32 p.m.