Triple

T25255706
Position Surface form Disambiguated ID Type / Status
Subject Kannada cinema E633167 entity
Predicate stateAward P95756 FINISHED
Object Karnataka State Film Awards
The Karnataka State Film Awards are annual honors presented by the Government of Karnataka to recognize excellence in Kannada-language cinema across various artistic and technical categories.
 E1671661 NE FINISHED

How this triple was built (3 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: Karnataka State Film Awards | Statement: [Kannada cinema, stateAward, Karnataka State Film Awards]
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: Karnataka State Film Awards
Triple: [Kannada cinema, stateAward, Karnataka State Film Awards]
Generated description
The Karnataka State Film Awards are annual honors presented by the Government of Karnataka to recognize excellence in Kannada-language cinema across various artistic and technical categories.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: stateAward
Context triple: [Kannada cinema, stateAward, Karnataka State Film Awards]
  • A. isAward chosen
    Indicates that one entity functions as an award or prize that is given or conferred to another entity.
  • B. awardFor
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • C. holderAwardedFor
    Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
  • D. awardConferred
    Indicates that an award or honor has been formally granted by one entity to another.
  • E. holderAward
    Indicates that an entity has received, possesses, or is the recipient of a particular award.
  • F. None of above.

Provenance (6 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_69e75a922ad481908f4f1f884583cb42 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1067efaf9c81908f825ad8d6426cd5 completed May 22, 2026, 2:27 p.m.
NEDg Description generation batch_6a1068ad981081908f324aa1d7cc5bb2 completed May 22, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_6a106a12f4e08190a51c4cecf7a5de2a completed May 22, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
Created at: April 21, 2026, 1:13 p.m.