Triple
T22409176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangerz |
E553953
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | Can't Be Tamed |
—
|
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: Can't Be Tamed | Statement: [Bangerz, previousWork, Can't Be Tamed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Can't Be Tamed Context triple: [Bangerz, previousWork, Can't Be Tamed]
-
A.
Can't Be Tamed
chosen
"Can't Be Tamed" is a 2010 pop album by Miley Cyrus that marked her transition from teen idol to a more mature, provocative musical image.
-
B.
Can't Tame Her
"Can't Tame Her" is a 2023 dance-pop single by Swedish singer Zara Larsson that celebrates female independence and confidence.
-
C.
Untamed Heart
Untamed Heart is a 1993 romantic drama film starring Christian Slater and Marisa Tomei about a shy waitress who falls in love with a gentle, emotionally fragile man with a heart condition.
-
D.
Tame One
Tame One was an American underground hip hop MC from New Jersey, best known as a member of the groups Artifacts and Leak Bros.
-
E.
Can’t Tame the Lion
"Can’t Tame the Lion" is a song by the American rock band Journey from their 1996 album "Trial by Fire."
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.