Triple

T34583158
Position Surface form Disambiguated ID Type / Status
Subject M. N. Venkatachaliah E887964 entity
Predicate name P16 FINISHED
Object Manepalli Narayana Rao Venkatachaliah
Manepalli Narayana Rao Venkatachaliah is an Indian jurist who served as the 25th Chief Justice of India and later chaired the National Human Rights Commission.
E2283680 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: Manepalli Narayana Rao Venkatachaliah | Statement: [M. N. Venkatachaliah, name, Manepalli Narayana Rao Venkatachaliah]
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: Manepalli Narayana Rao Venkatachaliah
Triple: [M. N. Venkatachaliah, name, Manepalli Narayana Rao Venkatachaliah]
Generated description
Manepalli Narayana Rao Venkatachaliah is an Indian jurist who served as the 25th Chief Justice of India and later chaired the National Human Rights Commission.

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_69f349d25cbc8190869998de5915886b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720c590008190a21d17b4697c968a completed May 3, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a42ca7d20688190abc3dac992afd458 completed June 29, 2026, 7:41 p.m.
NEDg Description generation batch_6a42cba98208819099955a0a2268b94b completed June 29, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_6a42dcb9be0c8190b4ad58ffa891216d completed June 29, 2026, 8:59 p.m.
Created at: May 1, 2026, 2:03 a.m.