Triple
T1235353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emotions |
E26534
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Can't Let Go |
E142014
|
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: Can't Let Go | Statement: [Emotions, single, Can't Let Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Can't Let Go Context triple: [Emotions, single, Can't Let Go]
-
A.
Can't Let Go
chosen
"Can't Let Go" is a song best known as a soulful country ballad popularized by LeAnn Rimes.
-
B.
So Gone
"So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
-
C.
This Can't Be Love
"This Can't Be Love" is a popular 1938 show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the musical "The Boys from Syracuse" and later recorded by numerous jazz and pop artists.
-
D.
Let Yourself Go
"Let Yourself Go" is a punk rock song by Green Day from their 2012 album ¡Uno!.
-
E.
Let Yourself Go
"Let Yourself Go" is a studio album by Broadway and television star Kristin Chenoweth, featuring her interpretations of classic songs in a retro, big-band and vocal jazz style.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5e421081908f2432528019db25 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93bf346081908a36a25b6616009a |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.