Triple
T5218201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvia Navarro |
E117804
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cuando seas mía
Cuando seas mía is a popular Mexican telenovela best known for its romantic drama and for helping solidify actress Silvia Navarro’s fame in Latin American television.
|
E502793
|
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: Cuando seas mía | Statement: [Silvia Navarro, notableWork, Cuando seas mía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuando seas mía Context triple: [Silvia Navarro, notableWork, Cuando seas mía]
-
A.
Solo mía
"Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
-
B.
Si No Te Quiere
"Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
-
C.
Be Mine
"Be Mine" is a song featured on the album "What Comes Naturally."
-
D.
Be Mine
"Be Mine" is a track featured on the album "Boys & Girls."
-
E.
My Romance
"My Romance" is a popular American show tune composed by Richard Rodgers with lyrics by Lorenz Hart, widely regarded as a jazz and pop standard.
- 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: Cuando seas mía Triple: [Silvia Navarro, notableWork, Cuando seas mía]
Generated description
Cuando seas mía is a popular Mexican telenovela best known for its romantic drama and for helping solidify actress Silvia Navarro’s fame in Latin American television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cuando seas mía Target entity description: Cuando seas mía is a popular Mexican telenovela best known for its romantic drama and for helping solidify actress Silvia Navarro’s fame in Latin American television.
-
A.
Solo mía
"Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
-
B.
Si No Te Quiere
"Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
-
C.
Be Mine
"Be Mine" is a song featured on the album "What Comes Naturally."
-
D.
Be Mine
"Be Mine" is a track featured on the album "Boys & Girls."
-
E.
My Romance
"My Romance" is a popular American show tune composed by Richard Rodgers with lyrics by Lorenz Hart, widely regarded as a jazz and pop standard.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a96d49c8190a58726a57edebdcc |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefebe3b081909f3fe50cf3d73653 |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef0bfd76c8190ab48fed23b21c70b |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef168c2088190bba7fce5219b0d1f |
completed | March 21, 2026, 7:28 p.m. |
Created at: March 20, 2026, 1:48 p.m.