Triple
T20493211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi corazón es tuyo |
E502799
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Isabella Tena
Isabella Tena is a Mexican child actress best known for her roles in popular telenovelas.
|
E1434813
|
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: Isabella Tena | Statement: [Mi corazón es tuyo, castMember, Isabella Tena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabella Tena Context triple: [Mi corazón es tuyo, castMember, Isabella Tena]
-
A.
Isabella Mir
Isabella Mir is the daughter of former UFC heavyweight champion and mixed martial artist Frank Mir.
-
B.
Isabella Toscano
Isabella Toscano is a fictional character from the soap opera "Days of Our Lives," known for her dramatic storylines and complex relationships within the show's core families.
-
C.
Isabella Turk
Isabella Turk is the daughter of Dr. Christopher Turk from the television series "Scrubs."
-
D.
Isabella Gomez
Isabella Gomez is a Colombian-American actress best known for her role as Elena Alvarez on the Netflix sitcom "One Day at a Time."
-
E.
Isabella Van Wagenen
Isabella Van Wagenen, better known as Sojourner Truth, was a formerly enslaved African American abolitionist and women’s rights activist renowned for her powerful speeches and advocacy for equality in the 19th century United States.
- 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: Isabella Tena Triple: [Mi corazón es tuyo, castMember, Isabella Tena]
Generated description
Isabella Tena is a Mexican child actress best known for her roles in popular telenovelas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isabella Tena Target entity description: Isabella Tena is a Mexican child actress best known for her roles in popular telenovelas.
-
A.
Isabella Mir
Isabella Mir is the daughter of former UFC heavyweight champion and mixed martial artist Frank Mir.
-
B.
Isabella Toscano
Isabella Toscano is a fictional character from the soap opera "Days of Our Lives," known for her dramatic storylines and complex relationships within the show's core families.
-
C.
Isabella Turk
Isabella Turk is the daughter of Dr. Christopher Turk from the television series "Scrubs."
-
D.
Isabella Gomez
Isabella Gomez is a Colombian-American actress best known for her role as Elena Alvarez on the Netflix sitcom "One Day at a Time."
-
E.
Isabella Van Wagenen
Isabella Van Wagenen, better known as Sojourner Truth, was a formerly enslaved African American abolitionist and women’s rights activist renowned for her powerful speeches and advocacy for equality in the 19th century United States.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893b8a86081908783a9b8cf2dc485 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08962f4e3881908df0bb55b6239c86 |
completed | May 16, 2026, 4:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0896b417bc8190963b69f84ea0e3c8 |
completed | May 16, 2026, 4:09 p.m. |
Created at: April 16, 2026, 11:35 a.m.