Triple
T15178108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby |
E362665
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object | Never Let You Go |
E1138364
|
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 Let You Go | Statement: [Baby, followedBySingle, Never Let You Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Never Let You Go Context triple: [Baby, followedBySingle, Never Let You Go]
-
A.
Never Let You Go
chosen
"Never Let You Go" is a pop song by Justin Bieber that followed his hit single "Baby" in his early discography.
-
B.
Never Let Me Go
"Never Let Me Go" is a dramatic, atmospheric pop ballad by Florence and the Machine known for its haunting vocals and themes of surrender and emotional turmoil.
-
C.
Never Let Me Go
"Never Let Me Go" is a dance-pop song by Brazilian DJ and producer Bruno Martini, known for its melodic hooks and electronic production.
-
D.
Never Let Me Go
Never Let Me Go is a song by the South Korean girl group Spectrum, released prior to their track "Say My Name."
-
E.
Leaving Time
Leaving Time is a bestselling contemporary novel by Jodi Picoult that blends mystery, family drama, and the emotional bond between a missing mother and her daughter.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89061548190b0b10da00b8d937e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.