Triple
T13600925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kala |
E324937
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Bamboo Banga
"Bamboo Banga" is the energetic, rhythm-driven opening track by M.I.A. from her 2007 album "Kala," blending electronic, world music, and hip hop influences.
|
E1048856
|
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: Bamboo Banga | Statement: [Kala, hasTrack, Bamboo Banga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamboo Banga Context triple: [Kala, hasTrack, Bamboo Banga]
-
A.
Bamboo
Bamboo is a small rural village located in Saint Ann Parish on the northern coast of Jamaica.
-
B.
Bamboo
Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
-
C.
Bangangté
Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
-
D.
Bobangi
Bobangi is a Bantu language historically spoken along the Congo River that served as a major regional trade lingua franca in Central Africa.
-
E.
House of Bamboo
House of Bamboo is a 1955 film noir crime drama directed by Samuel Fuller, set in postwar Tokyo and known for its vivid CinemaScope visuals and story of American gangsters operating in Japan.
- 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: Bamboo Banga Triple: [Kala, hasTrack, Bamboo Banga]
Generated description
"Bamboo Banga" is the energetic, rhythm-driven opening track by M.I.A. from her 2007 album "Kala," blending electronic, world music, and hip hop influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bamboo Banga Target entity description: "Bamboo Banga" is the energetic, rhythm-driven opening track by M.I.A. from her 2007 album "Kala," blending electronic, world music, and hip hop influences.
-
A.
Bamboo
Bamboo is a small rural village located in Saint Ann Parish on the northern coast of Jamaica.
-
B.
Bamboo
Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
-
C.
Bangangté
Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
-
D.
Bobangi
Bobangi is a Bantu language historically spoken along the Congo River that served as a major regional trade lingua franca in Central Africa.
-
E.
House of Bamboo
House of Bamboo is a 1955 film noir crime drama directed by Samuel Fuller, set in postwar Tokyo and known for its vivid CinemaScope visuals and story of American gangsters operating in Japan.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bcc1ed88190bbf6c83001703b84 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f776449724819096d5363184839e66 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f778f01700819099c3e9cbc84f29e4 |
completed | May 3, 2026, 4:33 p.m. |
Created at: April 9, 2026, 9:49 p.m.