Triple

T20351746
Position Surface form Disambiguated ID Type / Status
Subject Harano Sur E496027 entity
Predicate hasCastMember P2308 FINISHED
Object Jiben Bose
Jiben Bose was a noted Indian Bengali film actor, best remembered for his comic and character roles in mid-20th-century Bengali cinema.
E1425083 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: Jiben Bose | Statement: [Harano Sur, hasCastMember, Jiben Bose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiben Bose
Context triple: [Harano Sur, hasCastMember, Jiben Bose]
  • A. Somen Bose
    Somen Bose is an actor known for appearing in the Indian film "Nayak."
  • B. Kumar Bose
    Kumar Bose is a renowned Indian tabla maestro known for his virtuosity and contributions to Hindustani classical music.
  • C. Hiranmay Bose
    Hiranmay Bose is an Indian sports journalist and author known for his extensive writing and commentary on cricket and football.
  • D. Amiya Nath Bose
    Amiya Nath Bose was an Indian politician and lawyer, known for his role in the Indian independence movement and as a prominent member of the influential Bose family.
  • E. Kamal Bose
    Kamal Bose was a renowned Indian cinematographer celebrated for his work on classic Hindi films, particularly in collaboration with directors like Bimal Roy.
  • 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: Jiben Bose
Triple: [Harano Sur, hasCastMember, Jiben Bose]
Generated description
Jiben Bose was a noted Indian Bengali film actor, best remembered for his comic and character roles in mid-20th-century Bengali cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jiben Bose
Target entity description: Jiben Bose was a noted Indian Bengali film actor, best remembered for his comic and character roles in mid-20th-century Bengali cinema.
  • A. Somen Bose
    Somen Bose is an actor known for appearing in the Indian film "Nayak."
  • B. Kumar Bose
    Kumar Bose is a renowned Indian tabla maestro known for his virtuosity and contributions to Hindustani classical music.
  • C. Hiranmay Bose
    Hiranmay Bose is an Indian sports journalist and author known for his extensive writing and commentary on cricket and football.
  • D. Amiya Nath Bose
    Amiya Nath Bose was an Indian politician and lawyer, known for his role in the Indian independence movement and as a prominent member of the influential Bose family.
  • E. Kamal Bose
    Kamal Bose was a renowned Indian cinematographer celebrated for his work on classic Hindi films, particularly in collaboration with directors like Bimal Roy.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67850ace48190b19aff5780fef7e8 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086967aef88190b138be722f410e82 completed May 16, 2026, 12:56 p.m.
NEDg Description generation batch_6a0869f7b4208190858fdeae882e008d completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a893f1c81909bc40e3c4db0e147 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:24 a.m.