Triple
T22876980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stakes Is High |
E567350
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Stakes Is High (song) |
—
|
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: Stakes Is High (song) | Statement: [Stakes Is High, hasTrack, Stakes Is High (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stakes Is High (song) Context triple: [Stakes Is High, hasTrack, Stakes Is High (song)]
-
A.
Stakes Is High
chosen
Stakes Is High is a critically acclaimed 1996 hip-hop album by De La Soul known for its socially conscious lyrics and jazz-influenced production.
-
B.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
C.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
-
D.
I’m Shooting High
"I’m Shooting High" is a popular song with lyrics by American songwriter Ted Koehler, known from the Great American Songbook era.
-
E.
Hit ’Em High
"Hit ’Em High" is a hip-hop track best known from the Space Jam soundtrack, featuring an all-star lineup of 1990s rappers.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.