Triple

T2887688
Position Surface form Disambiguated ID Type / Status
Subject Bhonsle E59544 entity
Predicate usedTitle P3254 FINISHED
Object Raja
Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
E310655 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: Raja | Statement: [Bhonsle, usedTitle, Raja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raja
Context triple: [Bhonsle, usedTitle, Raja]
  • A. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • B. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • C. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • D. Pavanputra
    Pavanputra is a revered epithet of the Hindu deity Hanuman, highlighting his divine parentage as the son of the wind god.
  • E. Premji
    Premji is an Indian surname most prominently associated with billionaire philanthropist and Wipro chairman Azim Premji.
  • 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: Raja
Triple: [Bhonsle, usedTitle, Raja]
Generated description
Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raja
Target entity description: Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • A. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • B. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • C. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • D. Pavanputra
    Pavanputra is a revered epithet of the Hindu deity Hanuman, highlighting his divine parentage as the son of the wind god.
  • E. Premji
    Premji is an Indian surname most prominently associated with billionaire philanthropist and Wipro chairman Azim Premji.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f2d72c8190b81b2b0b3093ae57 completed March 10, 2026, 5:33 p.m.
NEDg Description generation batch_69b0642692f0819089b65a84b3596627 completed March 10, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69b064788ac88190a42f52ac8ace85fd completed March 10, 2026, 6:35 p.m.
Created at: March 6, 2026, 10:03 p.m.