Triple
T22905545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legends Never Die |
E568433
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Stay High |
—
|
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: Stay High | Statement: [Legends Never Die, hasPart, Stay High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stay High Context triple: [Legends Never Die, hasPart, Stay High]
-
A.
Stay High
chosen
"Stay High" is a song by Mika from his album *My Name Is Michael Holbrook*, blending upbeat pop melodies with introspective, emotionally charged lyrics.
-
B.
Live High
"Live High" is a mellow, uplifting song by Jason Mraz from his album *We Sing. We Dance. We Steal Things.*
-
C.
Gettin' High
"Gettin' High" is a hip hop song by Ol' Dirty Bastard from his 1999 album "Nigga Please," showcasing his eccentric style and offbeat delivery.
-
D.
How High
How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
-
E.
I Get High
"I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180198fe88190b2f8c2a827d95fdc |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.