Triple
T22409155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangerz |
E553953
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object |
SMS (Bangerz)
"SMS (Bangerz)" is a hip hop-influenced track by Miley Cyrus featuring Britney Spears from Cyrus's 2013 album "Bangerz."
|
E1535504
|
NE FINISHED |
How this triple was built (4 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: SMS (Bangerz) | Statement: [Bangerz, hasSingle, SMS (Bangerz)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMS (Bangerz) Context triple: [Bangerz, hasSingle, SMS (Bangerz)]
-
A.
Bang That
"Bang That" is a track by Vince Staples featured on his studio album "Ramona Park Broke My Heart."
-
B.
Bang Bang
"Bang Bang" is a 2014 pop/R&B hit single by Jessie J, Ariana Grande, and Nicki Minaj known for its powerful vocals and energetic, brass-driven production.
-
C.
Bang Bang
Bang Bang is a 2014 Indian action-comedy film starring Hrithik Roshan and Katrina Kaif, known for its high-octane stunts and being an official remake of the Hollywood movie "Knight and Day."
-
D.
Bang Bang
"Bang Bang" is a song by the American rock band ZZ Top, known for their blues-infused hard rock style.
-
E.
Bang Bang
"Bang Bang" is a popular song by the British electronic music duo Sweet Talker, known for its catchy hooks and dance-oriented production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SMS (Bangerz) Triple: [Bangerz, hasSingle, SMS (Bangerz)]
Generated description
"SMS (Bangerz)" is a hip hop-influenced track by Miley Cyrus featuring Britney Spears from Cyrus's 2013 album "Bangerz."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMS (Bangerz) Target entity description: "SMS (Bangerz)" is a hip hop-influenced track by Miley Cyrus featuring Britney Spears from Cyrus's 2013 album "Bangerz."
-
A.
Bang That
"Bang That" is a track by Vince Staples featured on his studio album "Ramona Park Broke My Heart."
-
B.
Bang Bang
"Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
-
C.
Bang Bang
Bang Bang is a 2014 Indian action-comedy film starring Hrithik Roshan and Katrina Kaif, known for its high-octane stunts and being an official remake of the Hollywood movie "Knight and Day."
-
D.
Bang Bang
"Bang Bang" is a work associated with Stephen Bloom, likely a creative project such as a film, book, or television production in which he was significantly involved.
-
E.
Bang Bang
"Bang Bang" is a 2014 pop/R&B hit single by Jessie J, Ariana Grande, and Nicki Minaj known for its powerful vocals and energetic, brass-driven production.
- F. None of above. chosen
Provenance (5 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_69f158badc008190a3f5afb520a25e5f |
completed | April 29, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0e2a0208190b0629e6b2ded7248 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af1e319848190bd12804239ba4d89 |
completed | May 18, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af29431648190a506d5e1a4fc9ce7 |
completed | May 18, 2026, 11:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.