Triple
T16122241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kills |
E391176
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Keep on Your Mean Side |
E1196695
|
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: Keep on Your Mean Side | Statement: [The Kills, album, Keep on Your Mean Side]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keep on Your Mean Side Context triple: [The Kills, album, Keep on Your Mean Side]
-
A.
Keep on Your Mean Side
chosen
Keep on Your Mean Side is the raw, garage rock–driven first full-length album by the indie rock duo The Kills, noted for its minimalist sound and gritty blues-punk style.
-
B.
Some Kinda Mean
"Some Kinda Mean" is a song by the American rock band Parabola.
-
C.
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
-
D.
It's Bad for Ya
"It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
-
E.
Steppin' to the Bad Side
"Steppin' to the Bad Side" is a high-energy, funk-infused show tune from the musical *Dreamgirls* that dramatizes the characters’ turn toward a darker, more ruthless path in the music industry.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79ecea0819083aa5cb676d49f64 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5 a.m.