Triple
T13993278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosas del Amor |
E336633
|
entity |
| Predicate | mainSong |
P20452
|
FINISHED |
| Object |
Esperanza
"Esperanza" is a romantic Latin pop ballad best known as the signature hit from the album *Cosas del Amor*.
|
E1072808
|
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: Esperanza | Statement: [Cosas del Amor, mainSong, Esperanza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esperanza Context triple: [Cosas del Amor, mainSong, Esperanza]
-
A.
Esperanza
Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
-
B.
Esperanza
Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
-
C.
Esperanza
Esperanza is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island-town character.
-
D.
Soledad
"Soledad" is a reggaeton song by Puerto Rican artist Don Omar, known for its emotive lyrics and romantic, melancholic style.
-
E.
Esperança
Esperança is a Brazilian telenovela in which actress Giselle Itié gained prominence for one of her most recognized roles.
- 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: Esperanza Triple: [Cosas del Amor, mainSong, Esperanza]
Generated description
"Esperanza" is a romantic Latin pop ballad best known as the signature hit from the album *Cosas del Amor*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esperanza Target entity description: "Esperanza" is a romantic Latin pop ballad best known as the signature hit from the album *Cosas del Amor*.
-
A.
Esperanza
Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
-
B.
Esperanza
Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
-
C.
Esperanza
Esperanza is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island-town character.
-
D.
Soledad
"Soledad" is a reggaeton song by Puerto Rican artist Don Omar, known for its emotive lyrics and romantic, melancholic style.
-
E.
Esperança
Esperança is a Brazilian telenovela in which actress Giselle Itié gained prominence for one of her most recognized roles.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbad64934481908ad35366ded9c7a0 |
completed | May 6, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbae1c5c988190bcc800d701bccca3 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 9, 2026, 10:19 p.m.