Triple
T21723622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria María Milagrosa Fajardo García de Estefan |
E536221
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Conga |
—
|
NE NERFINISHED |
How this triple was built (2 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 María Milagrosa Fajardo García de Estefan, notableWork, Conga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conga Context triple: [Gloria María Milagrosa Fajardo García de Estefan, notableWork, Conga]
-
A.
Conga
chosen
"Conga" is a 1985 Latin pop-dance hit by Gloria Estefan and Miami Sound Machine that popularized Latin rhythms in mainstream American pop music.
-
B.
Conga!
"Conga!" is a lively musical number from the 1953 Broadway musical *Wonderful Town*, known for its energetic Latin-inspired rhythm and ensemble choreography.
-
C.
Coramba
Coramba is a small rural town in New South Wales, Australia, situated inland from Coffs Harbour in the Coffs Coast region.
-
D.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
E.
Ventas Rumba
Ventas Rumba is a wide, low waterfall on the Venta River in Kuldīga, Latvia, known as one of the broadest natural waterfalls in Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.