Triple
T5214978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave Home |
E117727
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Oh Oh I Love Her So |
E503758
|
NE FINISHED |
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: Oh Oh I Love Her So | Statement: [Leave Home, hasTrack, Oh Oh I Love Her So]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh Oh I Love Her So Context triple: [Leave Home, hasTrack, Oh Oh I Love Her So]
-
A.
Oh Oh I Love Her So
chosen
"Oh Oh I Love Her So" is a Ramones song, written by Joey Ramone, that appears on their 1977 punk rock album "Leave Home."
-
B.
I Love Her
"I Love Her" is a song by Ray Ray, known for its smooth R&B style and romantic lyrics.
-
C.
Do You Love Her
"Do You Love Her" is a song featured on the album "Romance Dance" by Kim Carnes.
-
D.
And I Love Her
"And I Love Her" is a romantic ballad by the Beatles, written primarily by Paul McCartney, noted for its gentle melody and acoustic arrangement.
-
E.
Ma, I Don't Love Her
"Ma, I Don't Love Her" is a hip-hop track by the duo Clipse, known for its storytelling about complicated relationships over a Neptunes-produced beat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a928dfc8190971a9e28d5c10446 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8029cbc8190b0eb4357ff1067d2 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:48 p.m.