Triple
T4553194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danity Kane |
E120416
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object |
Bad Girl
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
|
E451592
|
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: Bad Girl | Statement: [Danity Kane, notableSingle, Bad Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Girl Context triple: [Danity Kane, notableSingle, Bad Girl]
-
A.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
B.
Good Girl Gone Bad
Good Girl Gone Bad is Rihanna's critically acclaimed 2007 pop and R&B album that marked her transition to a more edgy, mature image and sound.
-
C.
Damn Girl
"Damn Girl" is a funk-influenced dance track by Justin Timberlake featuring will.i.am from his 2006 album FutureSex/LoveSounds.
-
D.
Bad Girls
"Bad Girls" is a 1979 disco hit album by Donna Summer, widely regarded as one of her signature works and a landmark of the disco era.
-
E.
Naughty Girl
"Naughty Girl" is a hit R&B song by Beyoncé from her debut solo album, noted for its sultry vocals and Middle Eastern–influenced 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: Bad Girl Triple: [Danity Kane, notableSingle, Bad Girl]
Generated description
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Girl Target entity description: "Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
-
A.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
B.
Good Girl Gone Bad
Good Girl Gone Bad is Rihanna's critically acclaimed 2007 pop and R&B album that marked her transition to a more edgy, mature image and sound.
-
C.
Damn Girl
"Damn Girl" is a funk-influenced dance track by Justin Timberlake featuring will.i.am from his 2006 album FutureSex/LoveSounds.
-
D.
Bad Girls
"Bad Girls" is a 1979 disco hit album by Donna Summer, widely regarded as one of her signature works and a landmark of the disco era.
-
E.
Naughty Girl
"Naughty Girl" is a hit R&B song by Beyoncé from her debut solo album, noted for its sultry vocals and Middle Eastern–influenced 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd581160e08190b715a8ce5c3e6c9b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb95b01b0819094a600752e41aa09 |
completed | March 20, 2026, 9:17 p.m. |
| NEDg | Description generation | batch_69bdbdbf73508190b64a78ff9274ee6d |
completed | March 20, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdbe1bcd8c819094adea59c91c6f5b |
completed | March 20, 2026, 9:37 p.m. |
Created at: March 20, 2026, 1:09 p.m.