Triple
T21723687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conga |
E536223
|
entity |
| Predicate | chronologyFollows |
P26896
|
FINISHED |
| Object | Dr. Beat |
—
|
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: Dr. Beat | Statement: [Conga, chronologyFollows, Dr. Beat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Beat Context triple: [Conga, chronologyFollows, Dr. Beat]
-
A.
Dr. Beat
chosen
"Dr. Beat" is a 1984 dance-pop single by Miami Sound Machine that became one of their first international hits and helped launch Gloria Estefan to wider fame.
-
B.
Dr. Chill
Dr. Chill is a musical artist known for contributing featured performances on tracks by other performers, including Trip.
-
C.
Dr. Rock
Dr. Rock is a character in the film "Salvador," serving as a companion and foil to journalist Richard Boyle amid the chaos of the Salvadoran civil war.
-
D.
Mr. Music
Mr. Music is a 1950 American musical comedy film starring Bing Crosby, adapted from Samson Raphaelson’s play "Accent on Youth."
-
E.
Nickey Beat
Nickey Beat is a drummer best known for his role in the influential Los Angeles punk band The Weirdos.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
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.