Triple

T4782177
Position Surface form Disambiguated ID Type / Status
Subject Vali E106391 entity
Predicate child P120 FINISHED
Object Angada
Angada is a heroic Vanara prince in the Indian epic Ramayana, renowned for his loyalty to Rama and his role in the war against Ravana.
 E470323 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: Angada | Statement: [Vali, child, Angada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angada
Context triple: [Vali, child, Angada]
  • A. Bezawada
    Bezawada is the traditional name and popular local nickname for the city of Vijayawada in the Indian state of Andhra Pradesh.
  • B. Orya
    Orya is the ISO 15924 script code representing the Odia script used for writing the Odia language of eastern India.
  • C. Kosala
    Kosala is an ancient Indian kingdom in Hindu epic tradition, most prominently known as the realm ruled by Lord Rama with its capital at Ayodhya.
  • D. Malwa
    Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
  • E. Upananda
    Upananda is a figure in Buddhist tradition known primarily as the brother of Nanda, associated with the early circle of the Buddha’s relatives and disciples.
  • 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: Angada
Triple: [Vali, child, Angada]
Generated description
Angada is a heroic Vanara prince in the Indian epic Ramayana, renowned for his loyalty to Rama and his role in the war against Ravana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angada
Target entity description: Angada is a heroic Vanara prince in the Indian epic Ramayana, renowned for his loyalty to Rama and his role in the war against Ravana.
  • A. Bezawada
    Bezawada is the traditional name and popular local nickname for the city of Vijayawada in the Indian state of Andhra Pradesh.
  • B. Orya
    Orya is the ISO 15924 script code representing the Odia script used for writing the Odia language of eastern India.
  • C. Kosala
    Kosala is an ancient Indian kingdom in Hindu epic tradition, most prominently known as the realm ruled by Lord Rama with its capital at Ayodhya.
  • D. Malwa
    Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
  • E. Upananda
    Upananda is a figure in Buddhist tradition known primarily as the brother of Nanda, associated with the early circle of the Buddha’s relatives and disciples.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65abd0a08190937102c44d102f12 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43d72e3881909184aeee29b623a0 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be44f504208190b5eb1422dab2aebc completed March 21, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69be4652d03081908413977c240d79fe completed March 21, 2026, 7:18 a.m.
Created at: March 20, 2026, 1:22 p.m.