Triple

T25445985
Position Surface form Disambiguated ID Type / Status
Subject Sye Raa Narasimha Reddy E637637 entity
Predicate featuresCharacter P626 FINISHED
Object Veera Reddy
Veera Reddy is a character in the Indian historical action film "Sye Raa Narasimha Reddy," which dramatizes the life and rebellion of freedom fighter Uyyalawada Narasimha Reddy.
E1678693 NE FINISHED

How this triple was built (2 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: Veera Reddy | Statement: [Sye Raa Narasimha Reddy, featuresCharacter, Veera Reddy]
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: Veera Reddy
Triple: [Sye Raa Narasimha Reddy, featuresCharacter, Veera Reddy]
Generated description
Veera Reddy is a character in the Indian historical action film "Sye Raa Narasimha Reddy," which dramatizes the life and rebellion of freedom fighter Uyyalawada Narasimha Reddy.

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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f70346cc8190b7ed6b5a86a508cd completed May 2, 2026, 1:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089aae58c81908657642d1e3f85ff completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a2504b8819085f07ef035e63915 completed May 22, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_6a108b00aee0819088928d399c5e52b7 completed May 22, 2026, 4:57 p.m.
Created at: April 21, 2026, 2:01 p.m.