Triple

T3369511
Position Surface form Disambiguated ID Type / Status
Subject Rajputs E70918 entity
Predicate title P38 FINISHED
Object Rao
Rao is a traditional honorific title used by certain Rajput clans in India, historically associated with nobility and local rulership.
E353796 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: Rao | Statement: [Rajputs, title, Rao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rao
Context triple: [Rajputs, title, Rao]
  • A. Sarvepalli
    Sarvepalli is an Indian surname most prominently associated with Sarvepalli Radhakrishnan, the philosopher and statesman who served as the second President of India.
  • B. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • C. Swaminathan
    Swaminathan is an Indian surname most prominently associated with M. S. Swaminathan, the agricultural scientist known as the father of India’s Green Revolution.
  • D. Damodar Rao
    Damodar Rao was the adopted son and heir of Rani Lakshmibai of Jhansi, a key figure in the events surrounding the Indian Rebellion of 1857.
  • E. Raman
    Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
  • 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: Rao
Triple: [Rajputs, title, Rao]
Generated description
Rao is a traditional honorific title used by certain Rajput clans in India, historically associated with nobility and local rulership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rao
Target entity description: Rao is a traditional honorific title used by certain Rajput clans in India, historically associated with nobility and local rulership.
  • A. Sarvepalli
    Sarvepalli is an Indian surname most prominently associated with Sarvepalli Radhakrishnan, the philosopher and statesman who served as the second President of India.
  • B. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • C. Swaminathan
    Swaminathan is an Indian surname most prominently associated with M. S. Swaminathan, the agricultural scientist known as the father of India’s Green Revolution.
  • D. Damodar Rao
    Damodar Rao was the adopted son and heir of Rani Lakshmibai of Jhansi, a key figure in the events surrounding the Indian Rebellion of 1857.
  • E. Raman
    Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2b9b1fc8190a2cbf040ea808baf completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334396f588190add5c0c27949650c completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334d1e3348190b231a33058ee08a5 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b33901299481908615762989e45e7c completed March 12, 2026, 10:06 p.m.
Created at: March 8, 2026, 3:13 p.m.