Triple

T11346391
Position Surface form Disambiguated ID Type / Status
Subject Bibhuti Bhushan Bose E268724 entity
Predicate givenName P17 FINISHED
Object Bibhuti
Bibhuti is a given name most notably associated with Indian physicist Bibhuti Bhushan Bose.
E920080 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: Bibhuti | Statement: [Bibhuti Bhushan Bose, givenName, Bibhuti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bibhuti
Context triple: [Bibhuti Bhushan Bose, givenName, Bibhuti]
  • A. Biraj Bou
    Biraj Bou is a classic Bengali novel by Sarat Chandra Chattopadhyay that explores the struggles, dignity, and emotional life of a devoted wife in a traditional Indian household.
  • B. Bhola
    Bhola is a coastal town and district headquarters in southern Bangladesh, situated on the country’s largest island in the Meghna River delta.
  • C. Barindra
    Barindra is an Indian given name most notably associated with Barindra Kumar Ghosh, a revolutionary involved in the Indian independence movement.
  • D. Birsingha
    Birsingha is a village in West Bengal, India, best known as the birthplace of the 19th-century social reformer and educator Ishwar Chandra Vidyasagar.
  • E. Bhanu
    Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
  • 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: Bibhuti
Triple: [Bibhuti Bhushan Bose, givenName, Bibhuti]
Generated description
Bibhuti is a given name most notably associated with Indian physicist Bibhuti Bhushan Bose.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bibhuti
Target entity description: Bibhuti is a given name most notably associated with Indian physicist Bibhuti Bhushan Bose.
  • A. Biraj Bou
    Biraj Bou is a classic Bengali novel by Sarat Chandra Chattopadhyay that explores the struggles, dignity, and emotional life of a devoted wife in a traditional Indian household.
  • B. Bhola
    Bhola is a coastal town and district headquarters in southern Bangladesh, situated on the country’s largest island in the Meghna River delta.
  • C. Barindra
    Barindra is an Indian given name most notably associated with Barindra Kumar Ghosh, a revolutionary involved in the Indian independence movement.
  • D. Birsingha
    Birsingha is a village in West Bengal, India, best known as the birthplace of the 19th-century social reformer and educator Ishwar Chandra Vidyasagar.
  • E. Bhanu
    Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea214bb88190bb66f7fd3ef73081 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5437fb1208190892fa6b05c92478e completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.