Triple
T20122709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolution Radio |
E490652
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bang Bang
"Bang Bang" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*, known for its aggressive sound and commentary on media and violence.
|
E114224
|
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: Bang Bang | Statement: [Revolution Radio, hasPart, Bang Bang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bang Bang Context triple: [Revolution Radio, hasPart, Bang Bang]
-
A.
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.
-
B.
Bang Bang
"Bang Bang" is a song by the American rock band ZZ Top, known for their blues-infused hard rock style.
-
C.
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.
-
D.
Bang Bang
"Bang Bang" is a hip hop-influenced song by Somali-Canadian artist K'naan, known for its socially conscious lyrics and melodic, globally inspired sound.
-
E.
Bang Bang
Bang Bang is a character known as the older brother of Bloom in their shared fictional universe.
- 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: Bang Bang Triple: [Revolution Radio, hasPart, Bang Bang]
Generated description
"Bang Bang" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*, known for its aggressive sound and commentary on media and violence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bang Bang Target entity description: "Bang Bang" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*, known for its aggressive sound and commentary on media and violence.
-
A.
Bang Bang
chosen
"Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
-
B.
Bang Bang
"Bang Bang" is a song by the American rock band ZZ Top, known for their blues-infused hard rock style.
-
C.
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.
-
D.
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.
-
E.
Bang Bang
"Bang Bang" is a hip hop-influenced song by Somali-Canadian artist K'naan, known for its socially conscious lyrics and melodic, globally inspired sound.
- F. None of above.
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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673f5b4c8190bf9fb5f4e6b6a452 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dd7d19481908fed99f3c37b91bf |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082f03be608190a68d27656d33fe5e |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082faf0ca48190a498079bda6fb96f |
completed | May 16, 2026, 8:49 a.m. |
Created at: April 11, 2026, 11:30 p.m.