Triple
T15938122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vital Signs |
E386489
|
entity |
| Predicate | containsHitSingle |
P15293
|
FINISHED |
| Object | High on You |
E386484
|
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: High on You | Statement: [Vital Signs, containsHitSingle, High on You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High on You Context triple: [Vital Signs, containsHitSingle, High on You]
-
A.
High on You
chosen
"High on You" is a 1984 rock song by the American band Survivor, best known for its melodic hooks and chart success during the band's mid-1980s peak.
-
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.
It's You
"It's You" is a studio album by American progressive rock and jam band Umphrey's McGee, known for its intricate musicianship and genre-blending compositions.
-
E.
Beautiful You
Beautiful You is a satirical novel by Chuck Palahniuk that skewers consumer culture, sexuality, and power through a darkly comic story about a revolutionary line of female pleasure products.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ac934c8190b6178eb66023252e |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff291a4308190bd5b45dfdb3a6b98 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:53 a.m.