Triple
T1529229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengali cinema |
E32401
|
entity |
| Predicate | hasNotableAward |
P2391
|
FINISHED |
| Object |
National Film Award for Best Film on Future Issues
The National Film Award for Best Film on Future Issues is an Indian national-level honor recognizing outstanding films that thoughtfully explore emerging societal, technological, or environmental challenges.
|
E232995
|
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: National Film Award for Best Film on Future Issues | Statement: [Bengali cinema, hasNotableAward, National Film Award for Best Film on Future Issues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Film Award for Best Film on Future Issues Context triple: [Bengali cinema, hasNotableAward, National Film Award for Best Film on Future Issues]
-
A.
National Film Award for Best Film on Urban Issues
The National Film Award for Best Film on Urban Issues is an Indian national film honor presented annually to recognize outstanding films that thoughtfully address and portray urban life and its related social, economic, and cultural challenges.
-
B.
National Film Award for Best Film on Social Issues
The National Film Award for Best Film on Social Issues is an Indian national-level honor recognizing outstanding films that thoughtfully address and highlight important social problems and concerns.
-
C.
National Film Award for Best Film on Cultural Issues
The National Film Award for Best Film on Cultural Issues is an Indian national-level film honor recognizing outstanding films that thoughtfully explore and portray cultural themes and social traditions.
-
D.
National Film Award for Best Film on Political Issues
The National Film Award for Best Film on Political Issues is an Indian national film honor recognizing outstanding films that thoughtfully explore political themes and issues.
-
E.
National Film Award for Best Film on Human Rights Issues
The National Film Award for Best Film on Human Rights Issues is an Indian national-level honor recognizing outstanding films that powerfully address and promote awareness of human rights concerns.
- 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: National Film Award for Best Film on Future Issues Triple: [Bengali cinema, hasNotableAward, National Film Award for Best Film on Future Issues]
Generated description
The National Film Award for Best Film on Future Issues is an Indian national-level honor recognizing outstanding films that thoughtfully explore emerging societal, technological, or environmental challenges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: National Film Award for Best Film on Future Issues Target entity description: The National Film Award for Best Film on Future Issues is an Indian national-level honor recognizing outstanding films that thoughtfully explore emerging societal, technological, or environmental challenges.
-
A.
National Film Award for Best Film on Urban Issues
The National Film Award for Best Film on Urban Issues is an Indian national film honor presented annually to recognize outstanding films that thoughtfully address and portray urban life and its related social, economic, and cultural challenges.
-
B.
National Film Award for Best Film on Social Issues
The National Film Award for Best Film on Social Issues is an Indian national-level honor recognizing outstanding films that thoughtfully address and highlight important social problems and concerns.
-
C.
National Film Award for Best Film on Cultural Issues
The National Film Award for Best Film on Cultural Issues is an Indian national-level film honor recognizing outstanding films that thoughtfully explore and portray cultural themes and social traditions.
-
D.
National Film Award for Best Film on Political Issues
The National Film Award for Best Film on Political Issues is an Indian national film honor recognizing outstanding films that thoughtfully explore political themes and issues.
-
E.
National Film Award for Best Film on Human Rights Issues
The National Film Award for Best Film on Human Rights Issues is an Indian national-level honor recognizing outstanding films that powerfully address and promote awareness of human rights concerns.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb1dfd1a48190804ca5f0fb6f5985 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae303a4f5881909746b1dae558f8b0 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30e0411c81908cd19bf8d3525056 |
completed | March 9, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31849d7c8190a4e3c90334bf21a5 |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.