Triple
T20417518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qayamat: City Under Threat |
E500750
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
Baweja Movies
Baweja Movies is an Indian film production and distribution company associated with Bollywood releases.
|
E1428959
|
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: Baweja Movies | Statement: [Qayamat: City Under Threat, distributor, Baweja Movies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baweja Movies Context triple: [Qayamat: City Under Threat, distributor, Baweja Movies]
-
A.
Bundal Baaz
Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
-
B.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
C.
Jaanbaaz
Jaanbaaz is a 1986 Indian action-romance film directed by Feroz Khan, known for its stylish presentation, star-studded cast, and memorable music.
-
D.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
E.
Balanbale
Balanbale is a town in the Galguduud region of central Somalia, serving as a local hub for trade and pastoral communities.
- 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: Baweja Movies Triple: [Qayamat: City Under Threat, distributor, Baweja Movies]
Generated description
Baweja Movies is an Indian film production and distribution company associated with Bollywood releases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baweja Movies Target entity description: Baweja Movies is an Indian film production and distribution company associated with Bollywood releases.
-
A.
Bundal Baaz
Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
-
B.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
C.
Jaanbaaz
Jaanbaaz is a 1986 Indian action-romance film directed by Feroz Khan, known for its stylish presentation, star-studded cast, and memorable music.
-
D.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
E.
Balanbale
Balanbale is a town in the Galguduud region of central Somalia, serving as a local hub for trade and pastoral communities.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b2a2c0c8190a47ee3b49c51de45 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.