Triple

T26419084
Position Surface form Disambiguated ID Type / Status
Subject Nandamuri Harikrishna E664183 entity
Predicate parent P120 FINISHED
Object Basavatarakam Nandamuri
Basavatarakam Nandamuri was the wife of legendary Telugu actor and politician N. T. Rama Rao and the mother of several prominent members of the Nandamuri family.
E2083516 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: Basavatarakam Nandamuri | Statement: [Nandamuri Harikrishna, parent, Basavatarakam Nandamuri]
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: Basavatarakam Nandamuri
Triple: [Nandamuri Harikrishna, parent, Basavatarakam Nandamuri]
Generated description
Basavatarakam Nandamuri was the wife of legendary Telugu actor and politician N. T. Rama Rao and the mother of several prominent members of the Nandamuri family.

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_69ee883a04ec81908883c4559f8c7e24 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6113968208190ba2ea9ac59fbc54d completed May 2, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1a228a88190a6adca7f1ca112b9 completed June 20, 2026, 4:36 p.m.
NEDg Description generation batch_6a36c328ba788190ac5f7e0d59cedcff completed June 20, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_6a36c3da25608190b47fdf74705560bc completed June 20, 2026, 4:46 p.m.
Created at: April 26, 2026, 11:42 p.m.