Triple
T20042573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queers |
E497461
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Punk Rock Girls |
—
|
NE NERFINISHED |
How this triple was built (3 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: Punk Rock Girls | Statement: [The Queers, hasSong, Punk Rock Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punk Rock Girls Context triple: [The Queers, hasSong, Punk Rock Girls]
-
A.
Girlschool
Girlschool is a pioneering British all-female heavy metal band formed in the late 1970s, best known for its role in the New Wave of British Heavy Metal movement and collaborations with Motörhead.
-
B.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
-
C.
The Girls
"The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
-
D.
All Girls Garage
All Girls Garage is an automotive-focused television series that features an all-female team of mechanics and fabricators working on vehicle repairs, custom builds, and restorations.
-
E.
Girls Against God
"Girls Against God" is a song by English indie rock band Florence + The Machine, featured on their 2022 album *Dance Fever* and noted for its introspective lyrics and atmospheric production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Punk Rock Girls Target entity description: "Punk Rock Girls" is a pop-punk song by the American punk band The Queers, celebrated for its catchy melody and humorous, irreverent lyrics about punk-loving girls.
-
A.
Girlschool
Girlschool is a pioneering British all-female heavy metal band formed in the late 1970s, best known for its role in the New Wave of British Heavy Metal movement and collaborations with Motörhead.
-
B.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
-
C.
The Girls
"The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
-
D.
All Girls Garage
All Girls Garage is an automotive-focused television series that features an all-female team of mechanics and fabricators working on vehicle repairs, custom builds, and restorations.
-
E.
Girls Against God
"Girls Against God" is a song by English indie rock band Florence + The Machine, featured on their 2022 album *Dance Fever* and noted for its introspective lyrics and atmospheric production.
- F. None of above. chosen
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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ec9ae0819097032ff50d6215c2 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.