Triple
T13940072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Letchu Go |
E335218
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Never Letchu Go |
E335218
|
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: Never Letchu Go | Statement: [Never Letchu Go, hasTitle, Never Letchu Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Never Letchu Go Context triple: [Never Letchu Go, hasTitle, Never Letchu Go]
-
A.
Never Letchu Go
chosen
"Never Letchu Go" is a song by the American metal band Discipline.
-
B.
Go Gone
Go Gone is a track featured on the album "The 18th Day" by British singer-songwriter Estelle.
-
C.
Got to Go
"Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
-
D.
There You Go
"There You Go" is the 2000 debut single by American singer Pink, an R&B-influenced breakup song that helped launch her music career.
-
E.
Gotta Go
"Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce89d2348190b5a50376c2b8248c |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.