Triple
T18093295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad as Me |
E433023
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Bad as Me (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: Bad as Me (song) | Statement: [Bad as Me, hasTrack, Bad as Me (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad as Me (song) Context triple: [Bad as Me, hasTrack, Bad as Me (song)]
-
A.
Bad as Me
chosen
Bad as Me is a critically acclaimed 2011 studio album by American singer-songwriter Tom Waits, noted for its raw, eclectic sound and vivid storytelling.
-
B.
Bad to Me
"Bad to Me" is a 1963 pop song written by John Lennon and Paul McCartney that became a hit single for Billy J. Kramer and the Dakotas.
-
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.
Make Me Bad
"Make Me Bad" is a popular nu metal song by American band Korn, known for its dark, brooding atmosphere and prominent place in their late-1990s catalog.
-
E.
It's Bad for Me
"It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1a75048190924ebc01da83851b |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.