Triple
T12490106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becky G |
E298539
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mala Santa
Mala Santa is Becky G's debut studio album, a Spanish-language urban pop record that blends reggaeton and Latin trap influences.
|
E988079
|
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: Mala Santa | Statement: [Becky G, notableWork, Mala Santa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mala Santa Context triple: [Becky G, notableWork, Mala Santa]
-
A.
La santa
"La santa" is a short story by Gabriel García Márquez that explores themes of faith, superstition, and maternal devotion through the tale of a young Colombian girl believed to be a miracle-working saint after her death.
-
B.
Mucho Maas
Mucho Maas is a troubled California disc jockey and the husband of protagonist Oedipa Maas in Thomas Pynchon's novel "The Crying of Lot 49."
-
C.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
D.
Mala
Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
-
E.
Santo
Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
- 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: Mala Santa Triple: [Becky G, notableWork, Mala Santa]
Generated description
Mala Santa is Becky G's debut studio album, a Spanish-language urban pop record that blends reggaeton and Latin trap influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mala Santa Target entity description: Mala Santa is Becky G's debut studio album, a Spanish-language urban pop record that blends reggaeton and Latin trap influences.
-
A.
La santa
"La santa" is a short story by Gabriel García Márquez that explores themes of faith, superstition, and maternal devotion through the tale of a young Colombian girl believed to be a miracle-working saint after her death.
-
B.
Mucho Maas
Mucho Maas is a troubled California disc jockey and the husband of protagonist Oedipa Maas in Thomas Pynchon's novel "The Crying of Lot 49."
-
C.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
D.
Mala
Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
-
E.
Santo
Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba9e1108190b74984d9da9baebe |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.