Triple
T23262533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Off Life |
E582051
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | All Bad |
—
|
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: All Bad | Statement: [High Off Life, hasPart, All Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Bad Context triple: [High Off Life, hasPart, All Bad]
-
A.
All Bad
chosen
All Bad is a track featured on Nas’s Grammy-winning hip-hop album "King’s Disease."
-
B.
Down Bad
"Down Bad" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*, exploring themes of heartbreak, obsession, and emotional vulnerability.
-
C.
So Bad
"So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
-
D.
Bad Is Bad
"Bad Is Bad" is a rock song by Huey Lewis and the News, featured on their hit 1983 album "Sports."
-
E.
the Bad
The Bad is the notorious epithet of Charles II of Navarre, a 14th-century king infamous for his treachery and political intrigue in medieval France and Spain.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9f33c819082ef6b380fc594dd |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.