Triple
T6919669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deepa Mehta |
E160149
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Beeba Boys
Beeba Boys is a 2015 crime drama film that portrays the violent world of Indo-Canadian gangsters in Vancouver.
|
E628519
|
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: Beeba Boys | Statement: [Deepa Mehta, directed, Beeba Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beeba Boys Context triple: [Deepa Mehta, directed, Beeba Boys]
-
A.
Beez
"Beez" is a song by Kid Cudi from his 2013 album *Indicud*, featuring a guest verse from rapper RZA.
-
B.
Geto Boys
Geto Boys are a pioneering Houston-based hip hop group known for their hardcore, politically charged lyrics and major influence on Southern rap.
-
C.
Bugzy Malone
Bugzy Malone is a British rapper and actor known for helping pioneer the grime scene in Manchester and for his role in Guy Ritchie's film "The Gentlemen."
-
D.
Beenie Man
Beenie Man is a Jamaican dancehall and reggae artist widely known as the "King of Dancehall" for his influential hits and long-standing impact on the genre.
-
E.
Goodie Mob
Goodie Mob is an influential Atlanta-based hip hop group known for its socially conscious lyrics and role in pioneering Southern rap alongside acts like Outkast.
- 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: Beeba Boys Triple: [Deepa Mehta, directed, Beeba Boys]
Generated description
Beeba Boys is a 2015 crime drama film that portrays the violent world of Indo-Canadian gangsters in Vancouver.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beeba Boys Target entity description: Beeba Boys is a 2015 crime drama film that portrays the violent world of Indo-Canadian gangsters in Vancouver.
-
A.
Beez
"Beez" is a song by Kid Cudi from his 2013 album *Indicud*, featuring a guest verse from rapper RZA.
-
B.
Geto Boys
Geto Boys are a pioneering Houston-based hip hop group known for their hardcore, politically charged lyrics and major influence on Southern rap.
-
C.
Bugzy Malone
Bugzy Malone is a British rapper and actor known for helping pioneer the grime scene in Manchester and for his role in Guy Ritchie's film "The Gentlemen."
-
D.
Beenie Man
Beenie Man is a Jamaican dancehall and reggae artist widely known as the "King of Dancehall" for his influential hits and long-standing impact on the genre.
-
E.
Goodie Mob
Goodie Mob is an influential Atlanta-based hip hop group known for its socially conscious lyrics and role in pioneering Southern rap alongside acts like Outkast.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9f8fc888190949d5779ccbe91e6 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7512f7fac81908d0891f4de301535 |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c751db72408190b89e2ab08730ca43 |
completed | March 28, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75264e65081908859551feaf1006c |
completed | March 28, 2026, 4 a.m. |
Created at: March 27, 2026, 2:26 p.m.