Triple

T19594443
Position Surface form Disambiguated ID Type / Status
Subject Queen of Ayodhya E470314 entity
Predicate father P120 FINISHED
Object Ashvapati
Ashvapati is a figure from Hindu tradition known as the father of the Queen of Ayodhya.
 E1385309 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: Ashvapati | Statement: [Queen of Ayodhya, father, Ashvapati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ashvapati
Context triple: [Queen of Ayodhya, father, Ashvapati]
  • A. Bhartṛhari
    Bhartṛhari was a 5th-century Indian philosopher and grammarian whose work on language, meaning, and the philosophy of grammar profoundly shaped later Indian thought.
  • B. Satyakāma Jābāla
    Satyakāma Jābāla is a revered Vedic sage known for his exemplary truthfulness and devotion to spiritual knowledge, prominently featured in the Upanishadic tradition.
  • C. Pāṇini
    Pāṇini was an ancient Indian grammarian whose systematic and highly influential treatise, the Aṣṭādhyāyī, laid the foundations of classical Sanskrit grammar and linguistic analysis.
  • D. Vaishampayana
    Vaishampayana is an ancient sage and disciple of Vyasa, best known in Hindu tradition for reciting and transmitting the Mahabharata.
  • E. Banabhatta
    Banabhatta was a 7th-century Sanskrit prose writer and court poet to King Harsha, best known for his works "Harshacharita" and "Kadambari."
  • 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: Ashvapati
Triple: [Queen of Ayodhya, father, Ashvapati]
Generated description
Ashvapati is a figure from Hindu tradition known as the father of the Queen of Ayodhya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ashvapati
Target entity description: Ashvapati is a figure from Hindu tradition known as the father of the Queen of Ayodhya.
  • A. Bhartṛhari
    Bhartṛhari was a 5th-century Indian philosopher and grammarian whose work on language, meaning, and the philosophy of grammar profoundly shaped later Indian thought.
  • B. Satyakāma Jābāla
    Satyakāma Jābāla is a revered Vedic sage known for his exemplary truthfulness and devotion to spiritual knowledge, prominently featured in the Upanishadic tradition.
  • C. Pāṇini
    Pāṇini was an ancient Indian grammarian whose systematic and highly influential treatise, the Aṣṭādhyāyī, laid the foundations of classical Sanskrit grammar and linguistic analysis.
  • D. Vaishampayana
    Vaishampayana is an ancient sage and disciple of Vyasa, best known in Hindu tradition for reciting and transmitting the Mahabharata.
  • E. Banabhatta
    Banabhatta was a 7th-century Sanskrit prose writer and court poet to King Harsha, best known for his works "Harshacharita" and "Kadambari."
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640793cd88190b9b84491bfb2493f completed April 20, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1926b88190870d13afa412b444 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a076110cebc8190b3d7be3e858c92bf completed May 15, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_6a07616ce66881909846d54ca6e2ca99 completed May 15, 2026, 6:09 p.m.
Created at: April 10, 2026, 1:43 p.m.