Triple

T4519797
Position Surface form Disambiguated ID Type / Status
Subject Vyasa E103237 entity
Predicate teacherOf P48 FINISHED
Object Sumantra
Sumantra is a figure in Hindu tradition known as a disciple of the sage Vyasa.
E449947 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: Sumantra | Statement: [Vyasa, teacherOf, Sumantra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumantra
Context triple: [Vyasa, teacherOf, Sumantra]
  • A. Sawbwa
    Sawbwa was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
  • B. Mapun
    Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
  • C. Desiya
    Desiya is a regional dialect spoken in parts of Odisha, India, influenced by Odia and neighboring tribal and Indo-Aryan languages.
  • D. Lemuria
    Lemuria was an ancient Roman festival during which household spirits of the dead were ritually appeased and driven away to protect the living.
  • E. Angur Ada
    Angur Ada is a key border crossing point between Afghanistan and Pakistan used for trade and transit in the eastern part of Afghanistan.
  • 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: Sumantra
Triple: [Vyasa, teacherOf, Sumantra]
Generated description
Sumantra is a figure in Hindu tradition known as a disciple of the sage Vyasa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sumantra
Target entity description: Sumantra is a figure in Hindu tradition known as a disciple of the sage Vyasa.
  • A. Sawbwa
    Sawbwa was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
  • B. Mapun
    Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
  • C. Desiya
    Desiya is a regional dialect spoken in parts of Odisha, India, influenced by Odia and neighboring tribal and Indo-Aryan languages.
  • D. Lemuria
    Lemuria was an ancient Roman festival during which household spirits of the dead were ritually appeased and driven away to protect the living.
  • E. Angur Ada
    Angur Ada is a key border crossing point between Afghanistan and Pakistan used for trade and transit in the eastern part of Afghanistan.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5747e90c81908fa112ecace699a9 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda432bfd48190a0eba7cd37fb1953 completed March 20, 2026, 7:46 p.m.
NEDg Description generation batch_69bda5b564648190ab2badb264910185 completed March 20, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_69bda658568c8190bf97e4328e3799be completed March 20, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:02 p.m.