Triple

T22356153
Position Surface form Disambiguated ID Type / Status
Subject Ajinkya Rahane E552657 entity
Predicate givenName P17 FINISHED
Object Ajinkya
Ajinkya is an Indian given name most prominently associated with cricketer Ajinkya Rahane.
E1532941 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: Ajinkya | Statement: [Ajinkya Rahane, givenName, Ajinkya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajinkya
Context triple: [Ajinkya Rahane, givenName, Ajinkya]
  • A. Ajinkya Deo
    Ajinkya Deo is an Indian film and television actor known primarily for his work in Marathi cinema as well as notable roles in Hindi films.
  • B. Ruturaj Gaikwad
    Ruturaj Gaikwad is an Indian cricketer and top-order batsman known for his prolific run-scoring in the Indian Premier League and for India in international cricket.
  • C. Virata
    Virata is a king in the Indian epic Mahabharata, known for sheltering the Pandavas during their year of incognito exile and later allying with them in the Kurukshetra war.
  • D. Virata
    Virata was a British semiconductor and communications technology company known for developing chipsets and software for broadband access devices such as DSL modems and routers.
  • E. Ashwin Kumar
    Ashwin Kumar is the sharp, no-nonsense investigative officer portrayed by Irrfan Khan in the Hindi crime thriller film "Talvar," inspired by the real-life Aarushi Talwar murder case.
  • 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: Ajinkya
Triple: [Ajinkya Rahane, givenName, Ajinkya]
Generated description
Ajinkya is an Indian given name most prominently associated with cricketer Ajinkya Rahane.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ajinkya
Target entity description: Ajinkya is an Indian given name most prominently associated with cricketer Ajinkya Rahane.
  • A. Ajinkya Deo
    Ajinkya Deo is an Indian film and television actor known primarily for his work in Marathi cinema as well as notable roles in Hindi films.
  • B. Ruturaj Gaikwad
    Ruturaj Gaikwad is an Indian cricketer and top-order batsman known for his prolific run-scoring in the Indian Premier League and for India in international cricket.
  • C. Virata
    Virata is a king in the Indian epic Mahabharata, known for sheltering the Pandavas during their year of incognito exile and later allying with them in the Kurukshetra war.
  • D. Virata
    Virata was a British semiconductor and communications technology company known for developing chipsets and software for broadband access devices such as DSL modems and routers.
  • E. Ashwin Kumar
    Ashwin Kumar is the sharp, no-nonsense investigative officer portrayed by Irrfan Khan in the Hindi crime thriller film "Talvar," inspired by the real-life Aarushi Talwar murder case.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157cf94508190b0f2c63ddfecb813 completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae05fed7c81909e1ff743ef607d42 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1d85d08819090fedead132fdd28 completed May 18, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae27a0cd88190aa869980829625a4 completed May 18, 2026, 9:57 a.m.
Created at: April 16, 2026, 8:44 p.m.