Triple

T902586
Position Surface form Disambiguated ID Type / Status
Subject Vishnu E19477 entity
Predicate epithet P743 FINISHED
Object Hari
Hari is a revered name of the Hindu god Vishnu, emphasizing his role as the preserver who removes suffering and ignorance.
 E106406 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: Hari | Statement: [Vishnu, epithet, Hari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hari
Context triple: [Vishnu, epithet, Hari]
  • A. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • B. Hira
    Hira is the ISO 15924 script code representing the Japanese hiragana writing system.
  • C. Hatagaya
    Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
  • D. Hana
    Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
  • E. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • 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: Hari
Triple: [Vishnu, epithet, Hari]
Generated description
Hari is a revered name of the Hindu god Vishnu, emphasizing his role as the preserver who removes suffering and ignorance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hari
Target entity description: Hari is a revered name of the Hindu god Vishnu, emphasizing his role as the preserver who removes suffering and ignorance.
  • A. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • B. Hira
    Hira is the ISO 15924 script code representing the Japanese hiragana writing system.
  • C. Hatagaya
    Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
  • D. Hana
    Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
  • E. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad56f4c08190a7a5091ff0eb3209 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c736bb6c8190a9cad1ef536be785 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c7a5f03c81908bd3ed9eb3710141 completed March 4, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7c888cd98819082dc39739d14dc67 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:39 p.m.