Triple

T14335898
Position Surface form Disambiguated ID Type / Status
Subject Darshan Upadhyaya E355465 entity
Predicate inGameName P113836 FINISHED
Object Darshan
Darshan is a professional League of Legends player known for competing under the in-game name "Darshan."
E1092950 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: Darshan | Statement: [Darshan Upadhyaya, inGameName, Darshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darshan
Context triple: [Darshan Upadhyaya, inGameName, Darshan]
  • A. Dharani
    Dharani is a figure in Hindu tradition known primarily as the consort of the warrior-sage avatar Parashurama.
  • B. Divya Desam
    Divya Desam refers to the group of 108 sacred Vishnu temples revered in the Tamil Alvar saints’ hymns, primarily located in South India.
  • C. Priyadarshana
    Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
  • D. Darsham
    Darsham is a small rural village and civil parish in the county of Suffolk in eastern England.
  • E. Nisargadhama
    Nisargadhama is a scenic river island and eco-tourism spot in Karnataka, India, known for its lush forests, bamboo groves, and wildlife.
  • 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: Darshan
Triple: [Darshan Upadhyaya, inGameName, Darshan]
Generated description
Darshan is a professional League of Legends player known for competing under the in-game name "Darshan."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Darshan
Target entity description: Darshan is a professional League of Legends player known for competing under the in-game name "Darshan."
  • A. Dharani
    Dharani is a figure in Hindu tradition known primarily as the consort of the warrior-sage avatar Parashurama.
  • B. Divya Desam
    Divya Desam refers to the group of 108 sacred Vishnu temples revered in the Tamil Alvar saints’ hymns, primarily located in South India.
  • C. Priyadarshana
    Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
  • D. Darsham
    Darsham is a small rural village and civil parish in the county of Suffolk in eastern England.
  • E. Nisargadhama
    Nisargadhama is a scenic river island and eco-tourism spot in Karnataka, India, known for its lush forests, bamboo groves, and wildlife.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46986758819088750150ad47bae1 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47a9b5008190a15de0f427771505 completed May 8, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd4828f44c81908903d1391c83cc60 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.