Triple

T21590502
Position Surface form Disambiguated ID Type / Status
Subject Abhay Ashtekar E532765 entity
Predicate givenName P17 FINISHED
Object Abhay
Abhay is a male given name commonly used in India, derived from Sanskrit and meaning "fearless" or "without fear."
 E1492057 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: Abhay | Statement: [Abhay Ashtekar, givenName, Abhay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abhay
Context triple: [Abhay Ashtekar, givenName, Abhay]
  • A. Abhaya
    Abhaya is a fictional character from Sarat Chandra Chattopadhyay’s Bengali novel "Srikanta," known for her unconventional life choices and complex emotional depth.
  • B. Kou Abhay
    Kou Abhay was a Laotian politician who served as prime minister of the Kingdom of Laos during the era of the Royal Lao Government.
  • C. Upamanyu
    Upamanyu is a devoted disciple in ancient Indian literature, known from the Mahabharata for his exemplary obedience and perseverance in serving his guru.
  • D. Aniruddha
    Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
  • E. Asvabhahu
    Asvabhahu was a literary pseudonym used by King Vajiravudh (Rama VI) of Siam for some of his written works.
  • 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: Abhay
Triple: [Abhay Ashtekar, givenName, Abhay]
Generated description
Abhay is a male given name commonly used in India, derived from Sanskrit and meaning "fearless" or "without fear."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abhay
Target entity description: Abhay is a male given name commonly used in India, derived from Sanskrit and meaning "fearless" or "without fear."
  • A. Abhaya
    Abhaya is a fictional character from Sarat Chandra Chattopadhyay’s Bengali novel "Srikanta," known for her unconventional life choices and complex emotional depth.
  • B. Kou Abhay
    Kou Abhay was a Laotian politician who served as prime minister of the Kingdom of Laos during the era of the Royal Lao Government.
  • C. Upamanyu
    Upamanyu is a devoted disciple in ancient Indian literature, known from the Mahabharata for his exemplary obedience and perseverance in serving his guru.
  • D. Aniruddha
    Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
  • E. Asvabhahu
    Asvabhahu was a literary pseudonym used by King Vajiravudh (Rama VI) of Siam for some of his written works.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadd0ec88190929c76137bd1603e completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f681f8a08190965cf2c3b12eb134 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f85e21948190a6563d309c349f78 completed May 17, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a09f8d30ff08190b3bc6c45f7b5257b completed May 17, 2026, 5:20 p.m.
Created at: April 16, 2026, 6:32 p.m.