Triple
T18148154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I've Been Expecting You |
E434439
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | She's the One |
—
|
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: She's the One | Statement: [I've Been Expecting You, hasPart, She's the One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She's the One Context triple: [I've Been Expecting You, hasPart, She's the One]
-
A.
She’s the One
chosen
"She’s the One" is a romantic song by Bruce Springsteen, known for its driving piano, saxophone, and lyrics about obsessive love and desire.
-
B.
You’re the One
"You’re the One" is a song featured on the soundtrack of the 1993 romantic crime film "True Romance."
-
C.
You're Still the One
"You're Still the One" is a hit country-pop love ballad by Shania Twain that became one of her signature songs and a major crossover success in the late 1990s.
-
D.
Still the One
"Still the One" is a popular soft rock song, best known as a 1976 hit by the band Orleans, co-written by John Hall.
-
E.
Let Me Be the One
"Let Me Be the One" is a song by Sheena Easton featured on her 1981 album *You Could Have Been with Me*.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.