Triple
T23328326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I’m So Over You |
E591364
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | I’m So Over 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: I’m So Over You | Statement: [I’m So Over You, hasTitle, I’m So Over You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’m So Over You Context triple: [I’m So Over You, hasTitle, I’m So Over You]
-
A.
I’m So Over You
chosen
"I’m So Over You" is a song featured on the album "Rebirth."
-
B.
Get Over You
"Get Over You" is a 2002 dance-pop single by English singer Sophie Ellis-Bextor, known for its catchy chorus and stylish, tongue-in-cheek music video.
-
C.
So Over You
"So Over You" is a song featured on 50 Cent's 2009 hip hop album "Before I Self Destruct."
-
D.
If You’re Over Me
"If You’re Over Me" is a synth-pop breakup song by British band Years & Years, known for its catchy chorus and themes of moving on from a past relationship.
-
E.
It's Over
"It's Over" is a 1977 soft rock song by Electric Light Orchestra from their album *Out of the Blue*, known for its lush orchestration and melancholic tone.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eb6cd481908acd5619b3af246d |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:13 p.m.