Triple
T5577919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Estefan |
E146366
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Conga
"Conga" is a 1985 Latin pop-dance hit by Gloria Estefan and Miami Sound Machine that popularized Latin rhythms in mainstream American pop music.
|
E536223
|
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: Conga | Statement: [Gloria Estefan, notableWork, Conga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conga Context triple: [Gloria Estefan, notableWork, Conga]
-
A.
Conga!
"Conga!" is a lively musical number from the 1953 Broadway musical *Wonderful Town*, known for its energetic Latin-inspired rhythm and ensemble choreography.
-
B.
Samba Pa Ti
"Samba Pa Ti" is an instrumental Latin rock ballad by guitarist Carlos Santana, renowned for its expressive, melodic guitar work and enduring popularity since its release in 1970.
-
C.
Dranse
The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
-
D.
Syncopation
Syncopation is a 1942 American musical drama film centered on the history and development of jazz music.
-
E.
Azonto
Azonto is a popular Ghanaian dance and music style characterized by fast-paced rhythms and expressive, often humorous body movements.
- 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: Conga Triple: [Gloria Estefan, notableWork, Conga]
Generated description
"Conga" is a 1985 Latin pop-dance hit by Gloria Estefan and Miami Sound Machine that popularized Latin rhythms in mainstream American pop music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conga Target entity description: "Conga" is a 1985 Latin pop-dance hit by Gloria Estefan and Miami Sound Machine that popularized Latin rhythms in mainstream American pop music.
-
A.
Conga!
"Conga!" is a lively musical number from the 1953 Broadway musical *Wonderful Town*, known for its energetic Latin-inspired rhythm and ensemble choreography.
-
B.
Samba Pa Ti
"Samba Pa Ti" is an instrumental Latin rock ballad by guitarist Carlos Santana, renowned for its expressive, melodic guitar work and enduring popularity since its release in 1970.
-
C.
Dranse
The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
-
D.
Syncopation
Syncopation is a 1942 American musical drama film centered on the history and development of jazz music.
-
E.
Azonto
Azonto is a popular Ghanaian dance and music style characterized by fast-paced rhythms and expressive, often humorous body movements.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206ae4808190971d89243db94475 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d21ac6c81908a07c049d1ab81c6 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e879a8c8190942968982223f6e4 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3c31b48190aeefd41bea55d367 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:37 p.m.