Triple
T21945045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drishyam |
E541912
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Aashirvad Cinemas
Aashirvad Cinemas is an Indian film production company best known for backing major Malayalam-language hits, including Mohanlal-starring blockbusters.
|
E1509488
|
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: Aashirvad Cinemas | Statement: [Drishyam, productionCompany, Aashirvad Cinemas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aashirvad Cinemas Context triple: [Drishyam, productionCompany, Aashirvad Cinemas]
-
A.
Prithvi Theatres
Prithvi Theatres was a pioneering Indian theatre company established in the mid-20th century that played a major role in popularizing Hindi theatre across India.
-
B.
Rave Cinemas
Rave Cinemas is a movie theater chain in the United States that operates multiplex cinemas for mainstream film releases.
-
C.
Cinema City
Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
-
D.
Regal Cinema
Regal Cinema is a historic art deco movie theatre in Mumbai, India, known as one of the city’s earliest and most iconic cinema halls.
-
E.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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: Aashirvad Cinemas Triple: [Drishyam, productionCompany, Aashirvad Cinemas]
Generated description
Aashirvad Cinemas is an Indian film production company best known for backing major Malayalam-language hits, including Mohanlal-starring blockbusters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aashirvad Cinemas Target entity description: Aashirvad Cinemas is an Indian film production company best known for backing major Malayalam-language hits, including Mohanlal-starring blockbusters.
-
A.
Prithvi Theatres
Prithvi Theatres was a pioneering Indian theatre company established in the mid-20th century that played a major role in popularizing Hindi theatre across India.
-
B.
Rave Cinemas
Rave Cinemas is a movie theater chain in the United States that operates multiplex cinemas for mainstream film releases.
-
C.
Cinema City
Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
-
D.
Regal Cinema
Regal Cinema is a historic art deco movie theatre in Mumbai, India, known as one of the city’s earliest and most iconic cinema halls.
-
E.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f1f49c81909f6c17dad3bd0219 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6200fb1c81909a4ab05fd368dafc |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a626731d8819097b209ae1375ae25 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 7:56 p.m.