Triple
T18048221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Comes Naturally |
E431850
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | If You Wanna Keep Me |
—
|
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 You Wanna Keep Me | Statement: [What Comes Naturally, hasPart, If You Wanna Keep Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If You Wanna Keep Me Context triple: [What Comes Naturally, hasPart, If You Wanna Keep Me]
-
A.
If You Wanna Keep Me
chosen
"If You Wanna Keep Me" is a song featured on the album *What Comes Naturally* by Sheena Easton.
-
B.
If You Wanna
"If You Wanna" is a song by Paul McCartney from his 1997 album "Flaming Pie," reflecting his melodic rock-pop style of the era.
-
C.
I Still Wanna
"I Still Wanna" is a hip-hop track by Pusha T from his 2011 EP *Fear of God II: Let Us Pray*.
-
D.
If You Want Me
"If You Want Me" is a country song recorded by American singer Billie Jo Spears, known for its classic 1970s Nashville sound and Spears’ emotive vocal style.
-
E.
Love Ain't for Keeping
"Love Ain't for Keeping" is a short, acoustic-driven rock song by The Who, known for its warm, pastoral feel and concise, uplifting melody.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.