Triple
T20142722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Uno! |
E491214
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fell for 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: Fell for You | Statement: [¡Uno!, hasPart, Fell for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fell for You Context triple: [¡Uno!, hasPart, Fell for You]
-
A.
Fell for You
chosen
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
-
B.
Since I Fell for You
"Since I Fell for You" is a classic blues ballad, widely interpreted by jazz and soul artists for its emotive melody and heartfelt lyrics.
-
C.
Fell In Love
"Fell In Love" is a song featured on Britney Spears' greatest hits album "One More Time..." (often associated with her debut era).
-
D.
Fallin’ for You
"Fallin’ for You" is a pop-acoustic love song by American singer-songwriter Colbie Caillat, released as a single from her second studio album, Breakthrough.
-
E.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679bcf2c8190ac6e969178d8acde |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.