Triple
T21981022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Get Ideas |
E542838
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | I Get Ideas |
—
|
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 Get Ideas | Statement: [I Get Ideas, hasTitle, I Get Ideas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Get Ideas Context triple: [I Get Ideas, hasTitle, I Get Ideas]
-
A.
I Get Ideas
chosen
"I Get Ideas" is a popular song, best known through Tony Martin's hit 1951 recording, adapted from the tango "Adios Muchachos."
-
B.
What I've Got in Mind
"What I've Got in Mind" is a country music song popularized by American singer Billie Jo Spears, known for its smooth, intimate vocal style and romantic, reflective lyrics.
-
C.
I Got It
"I Got It" is a song featured on American singer T-Pain's 2007 R&B/hip-hop album "Epiphany."
-
D.
What I Got
"What I Got" is a popular 1996 ska punk song by the American band Sublime, known for its laid-back groove and fusion of reggae, rock, and hip-hop influences.
-
E.
I Get Crazy
"I Get Crazy" is a high-energy hip hop track by Nicki Minaj, featuring Lil Wayne, that helped showcase her early mixtape-era style and lyrical prowess.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248cf0388190b557d065beb662b5 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:04 p.m.