Triple

T20351216
Position Surface form Disambiguated ID Type / Status
Subject Mrigayaa E496014 entity
Predicate hasCastMember P2308 FINISHED
Object Samit Bhanja
Samit Bhanja was an Indian film and theatre actor known for his work in Bengali cinema during the 1960s and 1970s.
E1425789 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: Samit Bhanja | Statement: [Mrigayaa, hasCastMember, Samit Bhanja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samit Bhanja
Context triple: [Mrigayaa, hasCastMember, Samit Bhanja]
  • A. Ashutosh Rana
    Ashutosh Rana is an acclaimed Indian film and television actor known for his intense character roles and powerful villainous performances in Hindi and regional cinema.
  • B. Gautam Saha
    Gautam Saha is a relatively obscure individual about whom no widely known public information is available.
  • C. Upendra Bhanja
    Upendra Bhanja was a celebrated 17th–18th century Odia poet renowned for his ornate style and major contributions to classical Odia literature.
  • D. Sumit Kumar
    Sumit Kumar is known primarily as a son of the legendary Indian playback singer and actor Kishore Kumar.
  • E. Bhargav Merai
    Bhargav Merai is an Indian domestic cricketer known as a key batsman for the Gujarat cricket team.
  • 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: Samit Bhanja
Triple: [Mrigayaa, hasCastMember, Samit Bhanja]
Generated description
Samit Bhanja was an Indian film and theatre actor known for his work in Bengali cinema during the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samit Bhanja
Target entity description: Samit Bhanja was an Indian film and theatre actor known for his work in Bengali cinema during the 1960s and 1970s.
  • A. Ashutosh Rana
    Ashutosh Rana is an acclaimed Indian film and television actor known for his intense character roles and powerful villainous performances in Hindi and regional cinema.
  • B. Gautam Saha
    Gautam Saha is a relatively obscure individual about whom no widely known public information is available.
  • C. Upendra Bhanja
    Upendra Bhanja was a celebrated 17th–18th century Odia poet renowned for his ornate style and major contributions to classical Odia literature.
  • D. Sumit Kumar
    Sumit Kumar is known primarily as a son of the legendary Indian playback singer and actor Kishore Kumar.
  • E. Bhargav Merai
    Bhargav Merai is an Indian domestic cricketer known as a key batsman for the Gujarat cricket team.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0869656ae4819084679d901249c2f7 completed May 16, 2026, 12:56 p.m.
NEDg Description generation batch_6a0869cc7308819087028f44af0386c2 completed May 16, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_6a086ab4c0a08190a1cd3ca5ea07512f completed May 16, 2026, 1:01 p.m.
Created at: April 16, 2026, 11:24 a.m.