Triple

T17937223
Position Surface form Disambiguated ID Type / Status
Subject Kamsa E448497 entity
Predicate spouse P13 FINISHED
Object Asti
Asti is a character in Hindu mythology known as one of the wives of the tyrant king Kamsa of Mathura.
 E1297446 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: Asti | Statement: [Kamsa, spouse, Asti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asti
Context triple: [Kamsa, spouse, Asti]
  • A. Asti
    Asti is a historic city in Italy’s Piedmont region, renowned for its sparkling wines, medieval architecture, and cultural traditions.
  • B. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • C. Arsi
    Arsi is a historical region in central Ethiopia, traditionally inhabited by Oromo people and known for its highlands and agricultural significance.
  • D. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • E. Asciano
    Asciano is a historic Tuscan town in central Italy, known for its medieval architecture and scenic location in the Crete Senesi landscape.
  • 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: Asti
Triple: [Kamsa, spouse, Asti]
Generated description
Asti is a character in Hindu mythology known as one of the wives of the tyrant king Kamsa of Mathura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asti
Target entity description: Asti is a character in Hindu mythology known as one of the wives of the tyrant king Kamsa of Mathura.
  • A. Asti
    Asti is a historic city in Italy’s Piedmont region, renowned for its sparkling wines, medieval architecture, and cultural traditions.
  • B. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • C. Arsi
    Arsi is a historical region in central Ethiopia, traditionally inhabited by Oromo people and known for its highlands and agricultural significance.
  • D. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • E. Asciano
    Asciano is a historic Tuscan town in central Italy, known for its medieval architecture and scenic location in the Crete Senesi landscape.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad937f0881909d22ac8c2be9e35e completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032912ed588190b0b9889595883520 completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032a25344c8190a0894cf784492fe3 completed May 12, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_6a032b6033b48190b889bd4d98a58ea2 completed May 12, 2026, 1:30 p.m.
Created at: April 10, 2026, 10:21 a.m.