Triple
T18187718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And I Love Her |
E435456
|
entity |
| Predicate | B-side |
P15273
|
FINISHED |
| Object | If I Fell |
—
|
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: If I Fell | Statement: [And I Love Her, B-side, If I Fell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I Fell Context triple: [And I Love Her, B-side, If I Fell]
-
A.
If I Fell
chosen
"If I Fell" is a 1964 Beatles ballad, sung primarily by John Lennon, noted for its close vocal harmonies and introspective lyrics about the vulnerability of falling in love.
-
B.
If I Could Fall in Love
"If I Could Fall in Love" is a soulful rock ballad by American musician Lenny Kravitz, known for its romantic lyrics and smooth, guitar-driven sound.
-
C.
If I Loved You
"If I Loved You" is a classic romantic song from the 1945 Rodgers and Hammerstein musical "Carousel," renowned for its lyrical exploration of unspoken love.
-
D.
If I Fall You’re Going Down with Me
"If I Fall You’re Going Down with Me" is a country song by the Dixie Chicks (now The Chicks), featured on their hit album "Fly."
-
E.
When I Fall in Love
"When I Fall in Love" is a romantic novel by Iris Rainer Dart, best known for its emotionally driven storytelling and exploration of love and relationships.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dfff86b8819080324aafba77acf3 |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.