Triple
T7330582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hang On Sloopy |
E168987
|
entity |
| Predicate | originalArtist |
P11499
|
FINISHED |
| Object | The McCoys |
E656429
|
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: The McCoys | Statement: [Hang On Sloopy, originalArtist, The McCoys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The McCoys Context triple: [Hang On Sloopy, originalArtist, The McCoys]
-
A.
The McCoys
chosen
The McCoys were an American rock band best known for their 1965 hit single "Hang On Sloopy," which became a classic of the garage rock era.
-
B.
The Kingsmen
The Kingsmen were the original name of the American country and gospel vocal group later known as The Statler Brothers.
-
C.
The Tennessee Three
The Tennessee Three was the backing band best known for creating the signature "boom-chicka-boom" sound behind country music legend Johnny Cash.
-
D.
Good Lovin'
"Good Lovin'" is a hip hop/R&B track by Ludacris, featured on his album "Ludaversal" and known for its smooth, romantic vibe.
-
E.
Good Lovin’
"Good Lovin’" is a classic rock and R&B song, famously covered and frequently performed live by the Grateful Dead.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0ab0b1881909f8f086b81fdddb7 |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa7f71888190a5025355c303c41d |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 3:03 p.m.