Triple
T18270107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Love You |
E437583
|
entity |
| Predicate | precedesSingle |
P97
|
FINISHED |
| Object | How Could You |
—
|
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: How Could You | Statement: [Let Me Love You, precedesSingle, How Could You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Could You Context triple: [Let Me Love You, precedesSingle, How Could You]
-
A.
How Could You
chosen
"How Could You" is a song from the album *Cinco Diablo* by the American rock band Saliva.
-
B.
If I Could
"If I Could" is a mellow, acoustic-driven song by Jack Johnson that reflects his signature laid-back, introspective style.
-
C.
If I Could Get to You
"If I Could Get to You" is a song featured on La Toya Jackson's 1988 pop and R&B album "You're Gonna Get Rocked!"
-
D.
Could You
"Could You" is a musical number from the stage adaptation of Louisa May Alcott's "Little Women," reflecting the show's period charm and character-driven storytelling.
-
E.
How Can I Blame You
"How Can I Blame You" is a song featured on the album "Darkness and Light."
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7d4f88819084123ed6c9e7e5b8 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.