Triple

T3217724
Position Surface form Disambiguated ID Type / Status
Subject Lakshmibai Newalkar E67435 entity
Predicate hasHonorific P2097 FINISHED
Object Rani
Rani is an honorific title used in South Asia for a queen or a female royal consort.
 E338385 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: Rani | Statement: [Lakshmibai Newalkar, hasHonorific, Rani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rani
Context triple: [Lakshmibai Newalkar, hasHonorific, Rani]
  • A. the Rani
    The Rani is a brilliant but ruthless renegade Time Lord and recurring villain in the Doctor Who universe, known for her coldly scientific experiments and amoral pursuit of knowledge.
  • B. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • C. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • D. Rajani
    Rajani is a Bengali novel by renowned 19th-century writer Bankim Chandra Chattopadhyay, noted for its exploration of social and emotional themes in colonial India.
  • E. Lalita
    Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
  • 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: Rani
Triple: [Lakshmibai Newalkar, hasHonorific, Rani]
Generated description
Rani is an honorific title used in South Asia for a queen or a female royal consort.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rani
Target entity description: Rani is an honorific title used in South Asia for a queen or a female royal consort.
  • A. the Rani
    The Rani is a brilliant but ruthless renegade Time Lord and recurring villain in the Doctor Who universe, known for her coldly scientific experiments and amoral pursuit of knowledge.
  • B. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • C. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • D. Rajani
    Rajani is a Bengali novel by renowned 19th-century writer Bankim Chandra Chattopadhyay, noted for its exploration of social and emotional themes in colonial India.
  • E. Lalita
    Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26241803c8190aa3254d5887c80f4 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2664ddd488190a3edf40fc2dcee18 completed March 12, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69b266ca4a90819083ecb16095a2984b completed March 12, 2026, 7:10 a.m.
Created at: March 8, 2026, 3:08 p.m.