Triple
T14623135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventeen Days |
E343273
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Let Me Go |
E344399
|
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: Let Me Go | Statement: [Seventeen Days, notableSingle, Let Me Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me Go Context triple: [Seventeen Days, notableSingle, Let Me Go]
-
A.
Let Me Go
"Let Me Go" is a song featured on the R&B singer Keke Wyatt's album "Two Eleven."
-
B.
Let Me Go
"Let Me Go" is an R&B song by Canadian singer-songwriter Daniel Caesar, known for its smooth vocals and introspective, emotionally driven lyrics.
-
C.
Let Me Go
chosen
"Let Me Go" is a rock song by American band 3 Doors Down, released in 2005 and known for its themes of emotional conflict and difficult relationships.
-
D.
Let Me Go
"Let Me Go" is a 2013 folk-pop single by British singer-songwriter Gary Barlow, known for its acoustic-driven sound and reflective lyrics.
-
E.
Let Me Go
"Let Me Go" is a rock-influenced song by American singer-songwriter and actor Christian Kane, known among fans of his country-rock music.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16e85488190b0dcc2ccd2f5df4d |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:26 a.m.