Triple
T5865478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elevation Tour |
E130381
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Bad |
E149332
|
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: Bad | Statement: [Elevation Tour, featuresSong, Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Context triple: [Elevation Tour, featuresSong, Bad]
-
A.
Bad
chosen
"Bad" is a U2 song, originally released on their 1984 album The Unforgettable Fire, known for its emotive live performances and themes of addiction and redemption.
-
B.
Bad (album)
Bad is Michael Jackson’s 1987 studio album that continued his pop dominance with a harder-edged sound and multiple chart-topping singles.
-
C.
Bad News
"Bad News" is a melancholic, Auto-Tune–driven song by Kanye West from his emotionally charged 2008 album 808s & Heartbreak.
-
D.
Nasty
"Nasty" is a 1986 hit single by Janet Jackson, known for its assertive lyrics, pioneering new jack swing sound, and iconic "nasty boys" refrain.
-
E.
Bad Words
Bad Words is a dark comedy film about a middle-aged man exploiting a loophole to compete in a children's spelling bee, marking Jason Bateman's feature directorial debut.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035bfa8188190ab0e28101fdf5e6f |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfe3d3d88190853f76e41c61ad71 |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:56 p.m.