Triple
T20408080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Go |
E500521
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Losing Grip |
—
|
NE NERFINISHED |
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: Losing Grip | Statement: [Let Go, hasSingle, Losing Grip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Losing Grip Context triple: [Let Go, hasSingle, Losing Grip]
-
A.
Losing Grip
chosen
"Losing Grip" is a rock-influenced song by Avril Lavigne from her debut album "Let Go," known for its heavier sound and themes of emotional frustration.
-
B.
Losing It
"Losing It" is a popular song by Canadian country duo R. City that showcases their blend of Caribbean-influenced pop and contemporary R&B.
-
C.
Losing It All
"Losing It All" is a song by the American metalcore band Lowborn.
-
D.
Just Lose It
"Just Lose It" is a comedic hip hop single by Eminem, best known for its parody of Michael Jackson and its controversial music video.
-
E.
Losing Touch
"Losing Touch" is the opening track from The Killers' album "Day & Age," known for its synth-driven, atmospheric rock sound and reflective lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.