Triple
T23373606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Kelley |
E593544
|
entity |
| Predicate | notableSongwritingCredit |
P8554
|
FINISHED |
| Object | Downtown |
—
|
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: Downtown | Statement: [Charles Kelley, notableSongwritingCredit, Downtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Context triple: [Charles Kelley, notableSongwritingCredit, Downtown]
-
A.
Downtown
chosen
"Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
-
B.
Downtown
"Downtown" is a 1964 pop song by Petula Clark that became an international hit and one of her signature recordings.
-
C.
Downtown
Downtown refers to the central urban area of a city, typically its main commercial and business district.
-
D.
Downtown
"Downtown" is a bilingual pop-funk single by Brazilian singer Anitta, known for its sultry style and international collaboration with Colombian artist J Balvin.
-
E.
Downtown
Downtown is a Japanese comedy duo famed for their influential manzai acts and for hosting numerous popular variety shows on Japanese television.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b0bc3c8190b1093f7ea29d015c |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.