Triple
T12490827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YBNL (album) |
E298555
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Coded Tunes |
E298573
|
NE FINISHED |
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: Coded Tunes | Statement: [YBNL (album), label, Coded Tunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coded Tunes Context triple: [YBNL (album), label, Coded Tunes]
-
A.
Coded Tunes
chosen
Coded Tunes is a Nigerian music record label known for helping launch the career of rapper Olamide and other prominent Afrobeats artists.
-
B.
In Tune
In Tune is a long-running BBC Radio 3 magazine programme featuring live classical music performances, interviews with musicians, and arts news.
-
C.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
D.
Tuneheadz
Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
-
E.
Tune
Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d94de3076c81909640c982d520ca6b |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba9e1108190b74984d9da9baebe |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.