Triple
T10066568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anitta |
E213116
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bang
"Bang" is a hit pop single by Brazilian singer Anitta, known for its catchy beat, bold visuals, and role in boosting her international popularity.
|
E838928
|
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 | Statement: [Anitta, notableWork, Bang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bang Context triple: [Anitta, notableWork, Bang]
-
A.
Bang
Bang is the given name of Emperor Gaozu of Han, the founder and first emperor of China’s Han dynasty.
-
B.
Grande
Grande is the surname of American pop singer and actress Ariana Grande, widely recognized as one of the most influential contemporary vocalists in popular music.
-
C.
Brun
Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
-
D.
Bron
Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
E.
Bon
Bon is an ancient Tibetan spiritual tradition and religion, distinct from but historically intertwined with Buddhism, that encompasses rituals, cosmology, and practices rooted in the pre-Buddhist culture of Tibet.
- 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 Triple: [Anitta, notableWork, Bang]
Generated description
"Bang" is a hit pop single by Brazilian singer Anitta, known for its catchy beat, bold visuals, and role in boosting her international popularity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bang Target entity description: "Bang" is a hit pop single by Brazilian singer Anitta, known for its catchy beat, bold visuals, and role in boosting her international popularity.
-
A.
Bang
Bang is the given name of Emperor Gaozu of Han, the founder and first emperor of China’s Han dynasty.
-
B.
Grande
Grande is the surname of American pop singer and actress Ariana Grande, widely recognized as one of the most influential contemporary vocalists in popular music.
-
C.
Brun
Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
-
D.
Bron
Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
E.
Bon
Bon is an ancient Tibetan spiritual tradition and religion, distinct from but historically intertwined with Buddhism, that encompasses rituals, cosmology, and practices rooted in the pre-Buddhist culture of Tibet.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff63a4c8190bb08a0428aafa189 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a8e682881909f5d079cc75e980b |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b985e308190a6ec3966e02f429c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c5f64c881909aa3d093422fe475 |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:58 p.m.